# SOME DESCRIPTIVE TITLE.
# Copyright (C) 2023, Xorbits Inc.
# This file is distributed under the same license as the Xinference package.
# FIRST AUTHOR <EMAIL@ADDRESS>, 2024.
#
#, fuzzy
msgid ""
msgstr ""
"Project-Id-Version: Xinference\n"
"Report-Msgid-Bugs-To: \n"
"POT-Creation-Date: 2025-11-10 11:08+0800\n"
"PO-Revision-Date: YEAR-MO-DA HO:MI+ZONE\n"
"Last-Translator: FULL NAME <EMAIL@ADDRESS>\n"
"Language-Team: ko <LL@li.org>\n"
"Language: ko\n"
"MIME-Version: 1.0\n"
"Content-Type: text/plain; charset=utf-8\n"
"Content-Transfer-Encoding: 8bit\n"
"Plural-Forms: nplurals=1; plural=0;\n"
"Generated-By: Babel 2.18.0\n"

#: ../../source/models/model_abilities/audio.rst:5
msgid "Audio"
msgstr "오디오"

#: ../../source/models/model_abilities/audio.rst:7
msgid "Learn how to turn audio into text or text into audio with Xinference."
msgstr "Xinference를 사용하여 오디오를 텍스트로 변환하거나 텍스트를 오디오로 변환하는 방법을 알아보세요."

#: ../../source/models/model_abilities/audio.rst:11
msgid "Introduction"
msgstr "소개"

#: ../../source/models/model_abilities/audio.rst:14
msgid "The Audio API provides three methods for interacting with audio:"
msgstr "Audio API는 오디오와 상호작용하는 세 가지 방법을 제공합니다:"

#: ../../source/models/model_abilities/audio.rst:17
msgid "The transcriptions endpoint transcribes audio into the input language."
msgstr "전사 터미널은 오디오를 입력 언어로 전사합니다."

#: ../../source/models/model_abilities/audio.rst:18
msgid "The translations endpoint translates audio into English."
msgstr "끝점이 오디오를 영어로 변환합니다."

#: ../../source/models/model_abilities/audio.rst:19
msgid "The speech endpoint generates audio from the input text."
msgstr "전사 터미널은 오디오를 입력 언어로 전사합니다."

#: ../../source/models/model_abilities/audio.rst:26
msgid "API ENDPOINT"
msgstr "API 엔드포인트"

#: ../../source/models/model_abilities/audio.rst:27
msgid "OpenAI-compatible ENDPOINT"
msgstr "OpenAI 호환 엔드포인트"

#: ../../source/models/model_abilities/audio.rst:29
msgid "Transcription API"
msgstr "전사 API"

#: ../../source/models/model_abilities/audio.rst:30
msgid "/v1/audio/transcriptions"
msgstr "/v1/audio/transcriptions"

#: ../../source/models/model_abilities/audio.rst:32
msgid "Translation API"
msgstr "API"

#: ../../source/models/model_abilities/audio.rst:33
msgid "/v1/audio/translations"
msgstr "/v1/audio/translations"

#: ../../source/models/model_abilities/audio.rst:35
msgid "Speech API"
msgstr "음성 API"

#: ../../source/models/model_abilities/audio.rst:36
msgid "/v1/audio/speech"
msgstr "/v1/audio/speech"

#: ../../source/models/model_abilities/audio.rst:40
msgid "Supported models"
msgstr "지원되는 모델 목록"

#: ../../source/models/model_abilities/audio.rst:42
msgid "The audio API is supported with the following models in Xinference:"
msgstr "Xinference에서 다음 모델이 오디오 API를 지원합니다:"

#: ../../source/models/model_abilities/audio.rst:45
msgid "Audio to text"
msgstr "음성을 텍스트로 변환"

#: ../../source/models/model_abilities/audio.rst:47
msgid ":ref:`whisper-tiny <models_builtin_whisper-tiny>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:48
msgid ":ref:`whisper-tiny.en <models_builtin_whisper-tiny.en>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:49
msgid ":ref:`whisper-base <models_builtin_whisper-base>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:50
msgid ":ref:`whisper-base.en <models_builtin_whisper-base.en>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:51
msgid ":ref:`whisper-medium <models_builtin_whisper-medium>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:52
msgid ":ref:`whisper-medium.en <models_builtin_whisper-medium.en>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:53
msgid ":ref:`whisper-large-v3 <models_builtin_whisper-large-v3>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:54
msgid ":ref:`whisper-large-v3-turbo <models_builtin_whisper-large-v3-turbo>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:55
msgid ""
":ref:`Belle-distilwhisper-large-v2-zh <models_builtin_belle-distilwhisper-"
"large-v2-zh>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:56
msgid ""
":ref:`Belle-whisper-large-v2-zh <models_builtin_belle-whisper-large-v2-zh>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:57
msgid ""
":ref:`Belle-whisper-large-v3-zh <models_builtin_belle-whisper-large-v3-zh>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:58
msgid ":ref:`SenseVoiceSmall <models_builtin_sensevoicesmall>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:59
msgid ":ref:`Paraformer-zh <models_builtin_paraformer-zh>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:61
#: ../../source/models/model_abilities/audio.rst:99
msgid "For Mac M-series chips only:"
msgstr "**Mac M 시리즈 칩 전용:**"

#: ../../source/models/model_abilities/audio.rst:63
msgid ":ref:`whisper-tiny-mlx <models_builtin_whisper-tiny-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:64
msgid ":ref:`whisper-tiny.en-mlx <models_builtin_whisper-tiny.en-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:65
msgid ":ref:`whisper-base-mlx <models_builtin_whisper-base-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:66
msgid ":ref:`whisper-base.en-mlx <models_builtin_whisper-base.en-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:67
msgid ":ref:`whisper-medium-mlx <models_builtin_whisper-medium-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:68
msgid ":ref:`whisper-medium.en-mlx <models_builtin_whisper-medium.en-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:69
msgid ":ref:`whisper-large-v3-mlx <models_builtin_whisper-large-v3-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:70
msgid ""
":ref:`whisper-large-v3-turbo-mlx <models_builtin_whisper-large-v3-turbo-"
"mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:74
msgid "Text to audio (TTS)"
msgstr "텍스트 음성 변환 (TTS)"

#: ../../source/models/model_abilities/audio.rst:76
msgid ""
"**Models supporting zero-shot** (direct synthesis without reference audio):"
msgstr "**zero-shot 지원 모델** (참조 오디오 불필요)"

#: ../../source/models/model_abilities/audio.rst:78
msgid ":ref:`ChatTTS <models_builtin_chattts>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:79
msgid ":ref:`CosyVoice-300M-SFT <models_builtin_cosyvoice-300m-sft>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:80
msgid ""
":ref:`CosyVoice-300M-Instruct <models_builtin_cosyvoice-300m-instruct>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:81
msgid "MeloTTS series"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:82
msgid ":ref:`Kokoro-82M <models_builtin_kokoro-82m>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:83
#: ../../source/models/model_abilities/audio.rst:102
msgid ":ref:`Kokoro-82M-MLX <models_builtin_kokoro-82m-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:84
msgid ":ref:`MegaTTS3 <models_builtin_megatts3>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:86
msgid "**Models supporting voice cloning** (requires reference audio):"
msgstr "**음성 복제를 지원하는 모델** (참조 오디오 필요)"

#: ../../source/models/model_abilities/audio.rst:88
msgid ":ref:`CosyVoice-300M <models_builtin_cosyvoice-300m>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:89
msgid ":ref:`CosyVoice 2.0 <models_builtin_cosyvoice2-0.5b>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:90
msgid ":ref:`FishSpeech-1.5 <models_builtin_fishspeech-1.5>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:91
msgid ":ref:`F5-TTS <models_builtin_f5-tts>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:92
#: ../../source/models/model_abilities/audio.rst:101
msgid ":ref:`F5-TTS-MLX <models_builtin_f5-tts-mlx>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:93
#: ../../source/models/model_abilities/audio.rst:97
msgid ":ref:`IndexTTS2 <models_builtin_indextts2>`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:95
msgid "**Models supporting emotion control**:"
msgstr "**감정 제어를 지원하는 모델**"

#: ../../source/models/model_abilities/audio.rst:105
msgid "Quickstart"
msgstr "빠른 시작"

#: ../../source/models/model_abilities/audio.rst:108
msgid "Transcription"
msgstr "번역"

#: ../../source/models/model_abilities/audio.rst:110
msgid ""
"The Transcription API mimics OpenAI's `create transcriptions API "
"<https://platform.openai.com/docs/api-"
"reference/audio/createTranscription>`_. We can try Transcription API out "
"either via cURL, OpenAI Client, or Xinference's python client:"
msgstr ""
"Transcription API는 OpenAI의 `create transcriptions API "
"<https://platform.openai.com/docs/api-"
"reference/audio/createTranscription>`_를 모방했습니다. cURL, OpenAI Client 또는 "
"Xinference의 Python 클라이언트를 통해 Transcription API를 시도할 수 있습니다:"

#: ../../source/models/model_abilities/audio.rst:161
msgid "Translation"
msgstr "Translate the given Chinese text into Korean."

#: ../../source/models/model_abilities/audio.rst:163
msgid ""
"The Translation API mimics OpenAI's `create translations API "
"<https://platform.openai.com/docs/api-reference/audio/createTranslation>`_. "
"We can try Translation API out either via cURL, OpenAI Client, or "
"Xinference's python client:"
msgstr ""
"Translation API는 OpenAI의 `create translations API "
"<https://platform.openai.com/docs/api-reference/audio/createTranslation>`_를 "
"모방했습니다. cURL, OpenAI Client 또는 Xinference의 Python 클라이언트를 통해 Translation API를"
" 사용해볼 수 있습니다."

#: ../../source/models/model_abilities/audio.rst:213
msgid "Speech"
msgstr "음성"

#: ../../source/models/model_abilities/audio.rst:217
msgid ""
"The Speech API mimics OpenAI's `create speech API "
"<https://platform.openai.com/docs/api-reference/audio/createSpeech>`_. We "
"can try Speech API out either via cURL, OpenAI Client, or Xinference's "
"python client:"
msgstr ""
"Transcription API는 OpenAI의 `create speech API "
"<https://platform.openai.com/docs/api-reference/audio/createSpeech>`_를 "
"모방합니다. cURL, OpenAI Client 또는 Xinference의 Python 클라이언트를 통해 Speech API를 시도할 수"
" 있습니다."

#: ../../source/models/model_abilities/audio.rst:220
msgid "Speech API use non-stream by default as"
msgstr "Speech API는 기본적으로 비스트리밍을 사용합니다."

#: ../../source/models/model_abilities/audio.rst:222
msgid ""
"The stream output of ChatTTS is not as good as the non-stream output, please"
" refer to: https://github.com/2noise/ChatTTS/pull/564"
msgstr ""
"ChatTTS의 스트리밍 출력이 비스트리밍 방식보다 효과적이지 않습니다. 참고: "
"https://github.com/2noise/ChatTTS/pull/564"

#: ../../source/models/model_abilities/audio.rst:223
msgid ""
"The stream requires ffmpeg<7: "
"https://pytorch.org/audio/stable/installation.html#optional-dependencies"
msgstr ""
"ffmpeg<7 스트리밍 요구 사항: "
"https://pytorch.org/audio/stable/installation.html#optional-dependencies"

#: ../../source/models/model_abilities/audio.rst:275
msgid "ChatTTS Usage"
msgstr "ChatTTS 사용"

#: ../../source/models/model_abilities/audio.rst:277
#: ../../source/models/model_abilities/audio.rst:480
msgid "Basic usage, refer to :ref:`audio speech usage <audio_speech>`."
msgstr "기본 사용법은 :ref:`음성 사용 장 <audio_speech>`를 참조하세요."

#: ../../source/models/model_abilities/audio.rst:279
msgid ""
"Fixed tone color. We can use fixed tone color provided by "
"https://github.com/6drf21e/ChatTTS_Speaker, Download the "
"`evaluation_result.csv "
"<https://github.com/6drf21e/ChatTTS_Speaker/blob/main/evaluation_results.csv>`_"
" , take ``seed_2155`` as example, we get the ``emb_data`` of it."
msgstr ""
"고정 음색. https://github.com/6drf21e/ChatTTS_Speaker 에서 제공하는 고정 음색을 사용할 수 있습니다."
" `evaluation_result.csv "
"<https://github.com/6drf21e/ChatTTS_Speaker/blob/main/evaluation_results.csv>`_"
" 를 다운로드하고, ``seed_2155`` 음색을 예시로 사용하여 ``emb_data`` 열의 데이터를 활용합니다."

#: ../../source/models/model_abilities/audio.rst:292
msgid "Use the fixed tone color of ``seed_2155`` to generate speech."
msgstr "``seed_2155`` 음색을 고정하여 음성을 생성합니다."

#: ../../source/models/model_abilities/audio.rst:308
msgid "CosyVoice Usage"
msgstr "CosyVoice 모델 사용"

#: ../../source/models/model_abilities/audio.rst:310
msgid ""
"CosyVoice has two versions: CosyVoice 1.0 and CosyVoice 2.0. CosyVoice 1.0 "
"has three different models:"
msgstr ""
"CosyVoice는 두 가지 버전이 있습니다: CosyVoice 1.0과 CosyVoice 2.0입니다. CosyVoice 1.0에는 "
"3개의 서로 다른 모델이 있습니다:"

#: ../../source/models/model_abilities/audio.rst:312
msgid ""
"**CosyVoice-300M-SFT**: Choose this model if you just want to convert text "
"to audio. There are pretrained voices available: ['中文女', '中文男', '日语男', "
"'粤语女', '英文女', '英文男', '韩语女']"
msgstr ""
"**CosyVoice-300M-SFT**: 텍스트를 음성으로 변환만 하려면 이 모델을 선택하세요. 사전 학습된 음색을 제공합니다: "
"['中文女', '中文男', '日语男', '粤语女', '英文女', '英文男', '韩语女']"

#: ../../source/models/model_abilities/audio.rst:313
msgid ""
"**CosyVoice-300M**: Choose this model if you want to clone voice or convert "
"text to audio in different languages. The ``prompt_speech`` is always "
"required and should be a WAV file. For optimal performance, use a sample "
"rate of 16,000 Hz."
msgstr ""
"**CosyVoice-300M**: 음성 복제나 텍스트를 다른 언어의 음성으로 변환하려면 이 모델을 선택하세요. 이 모델을 사용하려면 "
"``prompt_speech`` WAV 형식의 오디오 파일을 제공해야 하며, 더 나은 성능을 위해 16,000 Hz 샘플링 속도를 "
"사용하십시오."

#: ../../source/models/model_abilities/audio.rst:314
msgid ""
"**CosyVoice-300M-Instruct**: Choose this model If you need precise control "
"over the tone and pitch."
msgstr "**CosyVoice-300M-Instruct**: 음색과 음높이를 정밀하게 제어하려면 이 모델을 선택하십시오."

#: ../../source/models/model_abilities/audio.rst:316
msgid "Basic usage, launch model ``CosyVoice-300M-SFT``."
msgstr "기본 사용법, 모델 ``CosyVoice-300M-SFT``을 로드합니다."

#: ../../source/models/model_abilities/audio.rst:365
msgid "Clone voice, launch model ``CosyVoice-300M``."
msgstr "목소리 복제, 모델 로딩 ``CosyVoice-300M``."

#: ../../source/models/model_abilities/audio.rst:395
msgid "Cross lingual usage, launch model ``CosyVoice-300M``."
msgstr "교차 언어 사용, 모델 ``CosyVoice-300M``을 로드합니다."

#: ../../source/models/model_abilities/audio.rst:418
msgid "Instruction based, launch model ``CosyVoice-300M-Instruct``."
msgstr "명령 기반 음성 합성, 모델 ``CosyVoice-300M-Instruct``을 로드합니다."

#: ../../source/models/model_abilities/audio.rst:435
msgid ""
"CosyVoice 2.0 only has one model, it provides all the capabilities of the "
"three CosyVoice models. The usage is the same as CosyVoice."
msgstr ""
"CosyVoice 2.0는 하나의 모델만 있지만, CosyVoice 세 모델의 모든 기능을 포함하고 있습니다. 사용 방법은 "
"CosyVoice와 동일합니다."

#: ../../source/models/model_abilities/audio.rst:437
msgid "CosyVoice 2.0 stream usage, launch model ``CosyVoice2-0.5B``."
msgstr "CosyVoice 2.0 스트리밍 사용, 모델 ``CosyVoice2-0.5B`` 로드."

#: ../../source/models/model_abilities/audio.rst:474
msgid ""
"More instructions and examples, could be found at https://fun-audio-"
"llm.github.io/ ."
msgstr "더 많은 명령어와 예제는 https://fun-audio-llm.github.io/ 에서 참고할 수 있습니다."

#: ../../source/models/model_abilities/audio.rst:478
msgid "FishSpeech Usage"
msgstr "FishSpeech 모델 사용"

#: ../../source/models/model_abilities/audio.rst:482
msgid ""
"Clone voice, launch model ``FishSpeech-1.5``. Please use `prompt_speech` "
"instead of `reference_audio` and `prompt_text` instead of `reference_text` "
"to clone voice from the reference audio for the FishSpeech model. This "
"arguments is aligned to voice cloning of CosyVoice."
msgstr ""
"음성 복제, 모델 ``FishSpeech-1.5``을 시작합니다. FishSpeech 모델에 참조 오디오를 제공하기 위해 "
"`reference_audio` 대신 `prompt_speech`를, `reference_text` 대신 `prompt_text`를 "
"사용하십시오. 이 매개변수는 CosyVoice의 음성 복제와 일치합니다."

#: ../../source/models/model_abilities/audio.rst:509
msgid "Paraformer Usage"
msgstr "Paraformer 사용 설명서"

#: ../../source/models/model_abilities/audio.rst:512
msgid "model"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:512
msgid "vad"
msgstr "음성 활동 감지(VAD)"

#: ../../source/models/model_abilities/audio.rst:512
msgid "punc"
msgstr "구두점 복원(punc)"

#: ../../source/models/model_abilities/audio.rst:512
msgid "timestamp"
msgstr "타임스탬프"

#: ../../source/models/model_abilities/audio.rst:512
msgid "speaker"
msgstr "화자"

#: ../../source/models/model_abilities/audio.rst:512
msgid "hotword"
msgstr "핫워드"

#: ../../source/models/model_abilities/audio.rst:514
msgid ":ref:`models_builtin_paraformer-zh`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:514
#: ../../source/models/model_abilities/audio.rst:516
#: ../../source/models/model_abilities/audio.rst:518
#: ../../source/models/model_abilities/audio.rst:520
#: ../../source/models/model_abilities/audio.rst:522
msgid "yes"
msgstr "네"

#: ../../source/models/model_abilities/audio.rst:514
#: ../../source/models/model_abilities/audio.rst:516
#: ../../source/models/model_abilities/audio.rst:518
#: ../../source/models/model_abilities/audio.rst:520
msgid "no"
msgstr "아니요"

#: ../../source/models/model_abilities/audio.rst:516
msgid ":ref:`models_builtin_paraformer-zh-hotword`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:518
msgid ":ref:`models_builtin_paraformer-zh-spk`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:520
msgid ":ref:`models_builtin_paraformer-zh-long`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:522
msgid ":ref:`models_builtin_seaco-paraformer-zh` (recommend)"
msgstr ":ref:`models_builtin_seaco-paraformer-zh` (권장)"

#: ../../source/models/model_abilities/audio.rst:525
msgid "**VAD & Punctuation Usage**"
msgstr "**VAD와 구두점 사용**"

#: ../../source/models/model_abilities/audio.rst:527
msgid "All Paraformer models support VAD and punctuation."
msgstr "모든 Paraformer 모델은 VAD 및 구두점 기능을 지원합니다."

#: ../../source/models/model_abilities/audio.rst:529
msgid "**Timestamp & Speaker Usage**"
msgstr "**타임스탬프 및 화자 인식 사용 설명**"

#: ../../source/models/model_abilities/audio.rst:531
msgid "Only the following models support `timestamp` and `speaker`:"
msgstr "다음 모델만 `타임스탬프`와 `화자` 인식을 지원합니다:"

#: ../../source/models/model_abilities/audio.rst:533
msgid "`paraformer-zh-spk`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:534
msgid "`paraformer-zh-long`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:535
#: ../../source/models/model_abilities/audio.rst:560
msgid "`seaco-paraformer-zh`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:537
msgid ""
"Among them, only `paraformer-zh-spk` enables **speaker info by default**."
msgstr "其中，`paraformer-zh-spk` 모델만 기본적으로 화자 인식 기능이 활성화되어 있습니다."

#: ../../source/models/model_abilities/audio.rst:539
msgid ""
"If you need speaker info when using `paraformer-zh-long` or `seaco-"
"paraformer-zh`:"
msgstr ""
"만약 `paraformer-zh-long` 또는 `seaco-paraformer-zh`를 사용 중이고, 화자 인식 기능을 활성화해야 "
"한다면:"

#: ../../source/models/model_abilities/audio.rst:541
msgid ""
"In Web UI: add an extra parameter with key ``spk_model`` and value ``cam++``"
msgstr "Web UI에서: 이름이 ``spk_model``이고 값이 ``cam++``인 매개변수를 추가합니다."

#: ../../source/models/model_abilities/audio.rst:542
msgid "In command line: add the option ``--spk_model cam++``"
msgstr "명령줄에서: ``--spk_model cam++`` 매개변수 추가"

#: ../../source/models/model_abilities/audio.rst:544
#: ../../source/models/model_abilities/audio.rst:562
msgid "Example:"
msgstr "예시:"

#: ../../source/models/model_abilities/audio.rst:555
msgid "**Hotword Usage**"
msgstr "**핫키 기능 사용 설명**"

#: ../../source/models/model_abilities/audio.rst:557
msgid "Only the following models support `hotword`:"
msgstr "다음 모델만 `hotword`(핫워드 기능)을 지원합니다:"

#: ../../source/models/model_abilities/audio.rst:559
msgid "`paraformer-zh-hotword`"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:576
msgid "SenseVoiceSmall Offline Usage"
msgstr "SenseVoiceSmall 오프라인 사용"

#: ../../source/models/model_abilities/audio.rst:578
msgid ""
"Now SenseVoiceSmall use a small vad model ``fsmn-vad``, it will be "
"downloaded thus network required."
msgstr ""
"현재 SenseVoiceSmall은 작은 VAD 모델 ``fsmn-vad``를 사용하므로, 이를 다운로드하려면 네트워크가 필요합니다."

#: ../../source/models/model_abilities/audio.rst:580
msgid "For offline environment, you can download the vad model in advance."
msgstr "오프라인 환경에서는 이 VAD 모델을 미리 다운로드할 수 있습니다."

#: ../../source/models/model_abilities/audio.rst:582
msgid ""
"Download from `huggingface <https://huggingface.co/funasr/fsmn-vad>`_ or "
"`modelscope <https://modelscope.cn/models/iic/speech_fsmn_vad_zh-"
"cn-16k-common-pytorch/files>`_. Assume downloaded to ``/path/to/fsmn-vad``."
msgstr ""
"`huggingface <https://huggingface.co/funasr/fsmn-vad>`_ 또는 `modelscope "
"<https://modelscope.cn/models/iic/speech_fsmn_vad_zh-cn-16k-common-"
"pytorch/files>`_ 에서 다운로드합니다. ``/path/to/fsmn-vad`` 에 다운로드되었다고 가정합니다."

#: ../../source/models/model_abilities/audio.rst:585
msgid ""
"Then when launching SenseVoiceSmall with Web UI, you can add an additional "
"parameter with key ``vad_model`` and value ``/path/to/fsmn-vad`` which is "
"the downloaded path. When launching with command line, you can add an option"
" ``--vad_model /path/to/fsmn-vad``."
msgstr ""
"그런 다음 Web UI로 SenseVoiceSmall을 로드할 때, 추가 옵션에서 key는 ``vad_model``, value는 이전 "
"다운로드 경로 ``/path/to/fsmn-vad``를 추가합니다. 명령줄로 로드할 때는 옵션 ``--vad_model "
"/path/to/fsmn-vad``를 추가합니다."

#: ../../source/models/model_abilities/audio.rst:590
msgid "Kokoro Usage"
msgstr "Kokoro 모델 사용"

#: ../../source/models/model_abilities/audio.rst:592
msgid ""
"The Kokoro model supports multiple languages, but the default language is "
"English. If you want to use other languages, such as Chinese, you need to "
"install additional dependency packages and add an additional parameter when "
"starting the model."
msgstr ""
"Kokoro 모델은 다국어를 지원하며, 기본값은 영어입니다. 중국어와 같은 기본값이 아닌 언어를 사용하려면 추가 종속 패키지를 설치하고 "
"모델 시작 시 해당 매개변수를 추가해야 합니다."

#: ../../source/models/model_abilities/audio.rst:596
msgid "pip install misaki[zh]"
msgstr ""

#: ../../source/models/model_abilities/audio.rst:598
msgid ""
"Initialize the model with the parameter lang_code='z', For all available "
"``lang_code`` options, please refer to `kokoro source code "
"<https://github.com/hexgrad/kokoro/blob/main/kokoro/pipeline.py#L22>`_. If "
"the model is started through the web UI, an additional parameter needs to be"
" added, with the key as ``lang_code`` and the value as ``z``. If the model "
"is started through the xinference client, the parameters are passed via the "
"launch_model interface:"
msgstr ""
"`lang_code='z'` 매개변수로 모델을 초기화합니다. 지원되는 모든 `lang_code`는 `kokoro 소스 코드 "
"<https://github.com/hexgrad/kokoro/blob/main/kokoro/pipeline.py#L22>`_ 에서 "
"확인할 수 있습니다. Web UI를 통해 모델을 시작한 경우, 키는 ``lang_code``, 값은 ``z``인 추가 매개변수를 추가해야"
" 합니다. xinference client를 통해 모델을 시작한 경우, 다음 코드를 참고하여 매개변수를 전달할 수 있습니다:"

#: ../../source/models/model_abilities/audio.rst:615
msgid ""
"When inferring, the voice must start with 'z', for example: ``zf_xiaoyi``. "
"The currently supported voices are: "
"https://huggingface.co/hexgrad/Kokoro-82M/tree/main/voices. For example:"
msgstr ""
"추론 시에는 'z'로 시작하는 voice를 사용해야 합니다. 예를 들어: ``zf_xiaoyi``. 현재 지원되는 voice는 "
"https://huggingface.co/hexgrad/Kokoro-82M/tree/main/voices 을 참고하세요. 사용 방법은 "
"다음과 같습니다:"

#: ../../source/models/model_abilities/audio.rst:625
msgid "IndexTTS2 Usage"
msgstr "IndexTTS2 사용"

#: ../../source/models/model_abilities/audio.rst:627
msgid ""
"The IndexTTS2 model supports emotion control, you can use this feature by "
"specifying some additional parameters. Here are several examples of how to "
"use IndexTTS2:"
msgstr ""
"IndexTTS2 모델은 감정 제어를 지원하며, 추가 매개변수를 사용하여 이 기능을 활용할 수 있습니다. 다음은 IndexTTS2의 사용"
" 방법입니다:"

#: ../../source/models/model_abilities/audio.rst:630
msgid ""
"Synthesize new speech with a single reference audio file (voice cloning):"
msgstr "단일 참조 오디오(음색 복제):"

#: ../../source/models/model_abilities/audio.rst:646
msgid ""
"Using a separate, emotional reference audio file to condition the speech "
"synthesis:"
msgstr "지정 감정 참조 오디오:"

#: ../../source/models/model_abilities/audio.rst:666
msgid ""
"When an emotional reference audio file is specified, you can optionally set "
"the ``emo_alpha`` to adjust how much it affects the output. Valid range is "
"``0.0 - 1.0`` , and the default value is ``1.0`` (100%):"
msgstr ""
"감정 참조 오디오를 지정할 때 ``emo_alpha`` 매개변수를 설정하여 출력에 미치는 영향을 조정할 수 있습니다. 유효 범위는 "
"``0.0 - 1.0`` 이며, 기본값은 ``1.0`` (100%) 입니다."

#: ../../source/models/model_abilities/audio.rst:689
msgid ""
"It's also possible to omit the emotional reference audio and instead provide"
" an 8-float list specifying the intensity of each emotion, in the following "
"order: ``[happy, angry, sad, afraid, disgusted, melancholic, surprised, "
"calm]`` . You can additionally use the ``use_random`` parameter to introduce"
" stochasticity during inference; the default is ``False`` , and setting it "
"to ``True`` enables randomness:"
msgstr ""
"감정 참조 오디오는 생략할 수 있으며, 대신 8개의 부동소수점 리스트를 제공하여 각 감정의 강도를 다음 순서로 지정할 수 있습니다: "
"``[기쁨, 분노, 슬픔, 두려움, 혐오, 우울, 놀람, 평온]``. 또한 ``use_random`` 매개변수를 사용하여 추론 과정에서 "
"무작위 감정을 도입할 수 있습니다. 기본값은 ``False``이며, ``True``로 설정하면 무작위 감정이 활성화됩니다."

#: ../../source/models/model_abilities/audio.rst:712
msgid ""
"Alternatively, you can enable ``use_emo_text`` to guide the emotions based "
"on your provided ``text`` script. Your text script will then automatically "
"be converted into emotion vectors. It's recommended to use ``emo_alpha`` "
"around 0.6 (or lower) when using the text emotion modes, for more natural "
"sounding speech. You can introduce randomness with ``use_random`` (default: "
"``False``; ``True`` enables randomness):"
msgstr ""
"또는 ``use_emo_text`` 기능을 활성화하여 제공한 ``text`` 스크립트에 따라 감정 표현을 유도할 수 있습니다. 텍스트 "
"스크립트가 자동으로 감정 벡터로 변환됩니다. 텍스트 감정 모드를 사용할 때는 ``emo_alpha``를 약 0.6 정도(또는 그 이하)로"
" 설정하여 더 자연스러운 음성 효과를 얻는 것을 권장합니다. ``use_random``을 통해 무작위성을 도입할 수 있습니다(기본값: "
"``False``; ``True``는 무작위성 활성화)."

#: ../../source/models/model_abilities/audio.rst:737
msgid ""
"It's also possible to directly provide a specific text emotion description "
"via the ``emo_text`` parameter. Your emotion text will then automatically be"
" converted into emotion vectors. This gives you separate control of the text"
" script and the text emotion description:"
msgstr ""
"또한 ``emo_text`` 매개변수를 통해 특정 텍스트 감정 설명을 직접 제공할 수 있습니다. 귀하의 감정 텍스트는 자동으로 감정 "
"벡터로 변환됩니다. 이를 통해 텍스트 스크립트와 텍스트 감정 설명을 각각 제어할 수 있습니다:"

#: ../../source/models/model_abilities/audio.rst:761
msgid "IndexTTS2 Offline Usage"
msgstr "IndexTTS2 오프라인 사용"

#: ../../source/models/model_abilities/audio.rst:763
msgid ""
"IndexTTS2 requires several small models that are downloaded automatically "
"during initialization. For offline environments, you can download these "
"models to a single directory and specify the directory path."
msgstr ""
"IndexTTS2는 여러 개의 소형 모델이 필요하며, 이 모델들은 초기화 과정에서 자동으로 다운로드됩니다. 오프라인 환경에서는 이러한 "
"모델을 단일 디렉토리에 다운로드한 후 해당 디렉토리 경로를 지정할 수 있습니다."

#: ../../source/models/model_abilities/audio.rst:766
msgid "**Easy Setup Method**"
msgstr "**간편 설정 방법**"

#: ../../source/models/model_abilities/audio.rst:768
msgid ""
"The simplest way to set up offline usage is to Use the `hf download` command"
" to download the small model in advance:"
msgstr ""
"오프라인 사용을 설정하는 가장 간단한 방법은 `hf download` 명령어를 사용하여 모든 소형 모델을 미리 다운로드하는 것입니다."

#: ../../source/models/model_abilities/audio.rst:781
msgid "The final directory structure should look like this:"
msgstr "최종 디렉토리 구조는 다음과 같아야 합니다:"

#: ../../source/models/model_abilities/audio.rst:791
msgid "**Required Models**"
msgstr "**지원되는 모델 목록**"

#: ../../source/models/model_abilities/audio.rst:793
msgid "The small models are automatically mapped as follows:"
msgstr "소형 모델은 다음과 같이 자동 매핑됩니다:"

#: ../../source/models/model_abilities/audio.rst:795
msgid ""
"**w2v-bert-2.0** (``models--facebook--w2v-bert-2.0``) - Feature extraction "
"model"
msgstr "w2v-bert-2.0 (``models--facebook--w2v-bert-2.0``) - 특징 추출 모델"

#: ../../source/models/model_abilities/audio.rst:796
msgid ""
"**campplus** (``models--funasr--campplus``) - Speaker recognition model"
msgstr "**campplus** (``models--funasr--campplus``) - 화자 인식 모델"

#: ../../source/models/model_abilities/audio.rst:797
msgid ""
"**bigvgan** (``models--nvidia--bigvgan_v2_22khz_80band_256x``) - Vocoder "
"model"
msgstr ""
"**bigvgan** (``models--nvidia--bigvgan_v2_22khz_80band_256x``) - 음성 인코더 모델"

#: ../../source/models/model_abilities/audio.rst:798
msgid ""
"**semantic_codec** (``models--amphion--MaskGCT``) - Semantic "
"encoding/decoding model"
msgstr "**시맨틱 코덱** (``models--amphion--MaskGCT``) - 시맨틱 인코딩/디코딩 모델"

#: ../../source/models/model_abilities/audio.rst:800
msgid "**Launching IndexTTS2 with Offline Models**"
msgstr "**오프라인 모드로 IndexTTS2 시작하기**"

#: ../../source/models/model_abilities/audio.rst:802
msgid ""
"When launching IndexTTS2 with Web UI, you can add an additional parameter: -"
" ``small_models_dir`` - Path to directory containing all small models"
msgstr ""
"IndexTTS2를 웹 UI를 통해 시작할 때 추가 매개변수를 추가할 수 있습니다: - ``small_models_dir`` - 모든 "
"소형 모델이 포함된 디렉터리 경로"

#: ../../source/models/model_abilities/audio.rst:805
msgid "When launching with command line, you can add the option:"
msgstr "명령줄을 통해 시작할 때 다음 옵션을 추가할 수 있습니다:"

#: ../../source/models/model_abilities/audio.rst:812
msgid "When launching with Python client:"
msgstr "Python 클라이언트를 사용하여 시작할 때:"

#~ msgid "**random sampling**"
#~ msgstr ""

#~ msgid ""
#~ "Enabling random sampling will reduce the voice cloning fidelity of the "
#~ "speech synthesis."
#~ msgstr ""

#~ msgid ""
#~ "5.Alternatively, you can enable `use_emo_text` to guide the emotions based "
#~ "on"
#~ msgstr ""

#~ msgid ""
#~ "your provided `text` script. Your text script will then automatically be "
#~ "converted into emotion vectors. It's recommended to use `emo_alpha` around "
#~ "0.6 (or lower) when using the text emotion modes, for more natural sounding "
#~ "speech. You can introduce randomness with `use_random` (default: `False`; "
#~ "`True` enables randomness):"
#~ msgstr ""

#~ msgid ""
#~ "The required small models are: 1. **w2v-bert-2.0** - Feature extraction "
#~ "model (place in ``w2v-bert-2.0/`` subdirectory) 2. **semantic_codec** - "
#~ "Semantic encoding/decoding model (place in ``semantic_codec/`` subdirectory)"
#~ " 3. **campplus** - Speaker recognition model (place in ``campplus/`` "
#~ "subdirectory) 4. **bigvgan** - Vocoder model (place in ``bigvgan/`` "
#~ "subdirectory)"
#~ msgstr ""
#~ "필요한 소형 모델은 다음과 같습니다: 1. **w2v-bert-2.0** - 특징 추출 모델 (``w2v-bert-2.0/`` 하위 "
#~ "디렉터리에 배치) 2. **semantic_codec** - 의미론적 인코딩/디코딩 모델 (``semantic_codec/`` 하위 "
#~ "디렉터리에 배치) 3. **campplus** - 화자 인식 모델 (``campplus/`` 하위 디렉터리에 배치) 4. "
#~ "**bigvgan** - 보코더 모델 (``bigvgan/`` 하위 디렉터리에 배치)"

#~ msgid ""
#~ "Assume downloaded to ``/path/to/small_models`` with the following structure:"
#~ msgstr "``/path/to/small_models`` 디렉토리에 다운로드되었다고 가정할 때, 그 구조는 다음과 같습니다:"

#~ msgid ""
#~ "**Find your Hugging Face cache directory** (usually "
#~ "``~/.cache/huggingface/hub/``)"
#~ msgstr ""
#~ "**Hugging Face 캐시 디렉토리 찾기** (일반적으로 ``~/.cache/huggingface/hub/`` 에 위치)"

#~ msgid "**Copy the required models** to your target directory:"
#~ msgstr "**필요한 모델을** 대상 디렉토리에 복사합니다:"

#~ msgid "**Note about Directory Structure**"
#~ msgstr "**디렉토리 구조에 대한 설명**"

#~ msgid ""
#~ "The ``snapshots/`` directories contain version-specific model files with "
#~ "hash names. Xinference automatically detects and uses the correct snapshot "
#~ "directory, so you don't need to worry about the exact hash values."
#~ msgstr ""
#~ "``snapshots/`` 디렉토리는 해시 이름이 포함된 특정 버전의 모델 파일을 포함합니다. Xinference는 자동으로 올바른 "
#~ "스냅샷 디렉토리를 감지하고 사용하므로 정확한 해시 값에 대해 걱정할 필요가 없습니다."
