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translation.yaml
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en: # English
Language: Language
File: File
Youtube: Youtube
Mic: Mic
T2T Translation: T2T Translation
BGM Separation: BGM Separation
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English?
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Advanced Parameters: Advanced Parameters
Background Music Remover Filter: Background Music Remover Filter
Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
Enable Background Music Remover Filter: Enable Background Music Remover Filter
Save separated files to output: Save separated files to output
Offload sub model after removing background music: Offload sub model after removing background music
Voice Detection Filter: Voice Detection Filter
Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
Enable Silero VAD Filter: Enable Silero VAD Filter
Diarization: Diarization
Enable Diarization: Enable Diarization
HuggingFace Token: HuggingFace Token
This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
Device: Device
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Record with Mic: Record with Mic
Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
Your Auth Key (API KEY): Your Auth Key (API KEY)
Source Language: Source Language
Target Language: Target Language
Pro User?: Pro User?
TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
Upload Audio Files to separate background music: Upload Audio Files to separate background music
Instrumental: Instrumental
Vocals: Vocals
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
ko: # Korean
Language: 언어
File: 파일
Youtube: 유튜브
Mic: 마이크
T2T Translation: T2T 자막 번역
BGM Separation: 배경 음악 분리
GENERATE SUBTITLE FILE: 자막 파일 생성
Output: 결과물
Downloadable output file: 결과물 파일 다운로드
Upload File here: 파일을 업로드 하세요
Model: 모델
Automatic Detection: 자동 감지
File Format: 파일 형식
Translate to English?: 영어로 번역합니까? (위스퍼 모델 자체 번역 기능)
Add a timestamp to the end of the filename: 파일 이름 끝에 타임스태프 붙이기
Advanced Parameters: 고급 변수
Background Music Remover Filter: 배경 음악 제거 필터
Enabling this will remove background music: 받아쓰기 이전에 먼저 배경 음악 제거용 서브 모델을 활성화 합니다.
Enable Background Music Remover Filter: 배경 음악 제거 필터 활성화
Save separated files to output: 분리된 배경 음악 & 음성 파일 따로 출력 폴더에 저장
Offload sub model after removing background music: 배경 음악 제거 후 서브 모델을 비활성화 합니다. (VRAM 이 부족할 시 체크하세요.)
Voice Detection Filter: 목소리 감지 필터
Enable this to transcribe only detected voice: 서브 모델에 의해 목소리라고 판단된 부분만 받아쓰기를 진행합니다.
Enable Silero VAD Filter: Silero VAD 필터 활성화
Diarization: 화자 구분
Enable Diarization: 화자 구분 활성화
HuggingFace Token: 허깅페이스 토큰
This is only needed the first time you download the model: 모델을 처음 다운받을 때만 토큰이 필요합니다. 이미 다운로드 받으신 상태라면 입력하지 않아도 됩니다. 모델을 다운 받기 위해선 "https://huggingface.co/pyannote/speaker-diarization-3.1" 와 "https://huggingface.co/pyannote/segmentation-3.0" 에서 먼저 사용 지침에 동의하셔야 합니다.
Device: 디바이스
Youtube Link: 유튜브 링크
Youtube Thumbnail: 유튜브 썸네일
Youtube Title: 유튜브 제목
Youtube Description: 유튜브 설명
Record with Mic: 마이크로 녹음하세요
Upload Subtitle Files to translate here: 번역할 자막 파일을 업로드 하세요
Your Auth Key (API KEY): DeepL API 키
Source Language: 원본 언어
Target Language: 대상 언어
Pro User?: Pro 버전 사용자
TRANSLATE SUBTITLE FILE: 자막 파일 번역
Upload Audio Files to separate background music: 배경 음악을 분리할 오디오 파일을 업로드 하세요
Instrumental: 악기
Vocals: 보컬
SEPARATE BACKGROUND MUSIC: 배경 음악 분리
ja: # Japanese
Language: 言語
File: File
Youtube: Youtube
Mic: Mic
T2T Translation: T2T Translation
BGM Separation: BGM Separation
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English?
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Advanced Parameters: Advanced Parameters
Background Music Remover Filter: Background Music Remover Filter
Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
Enable Background Music Remover Filter: Enable Background Music Remover Filter
Save separated files to output: Save separated files to output
Offload sub model after removing background music: Offload sub model after removing background music
Voice Detection Filter: Voice Detection Filter
Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
Enable Silero VAD Filter: Enable Silero VAD Filter
Diarization: Diarization
Enable Diarization: Enable Diarization
HuggingFace Token: HuggingFace Token
This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
Device: Device
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Record with Mic: Record with Mic
Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
Your Auth Key (API KEY): Your Auth Key (API KEY)
Source Language: Source Language
Target Language: Target Language
Pro User?: Pro User?
TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
Upload Audio Files to separate background music: Upload Audio Files to separate background music
Instrumental: Instrumental
Vocals: Vocals
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
es: # Spanish
Language: Idioma
File: File
Youtube: Youtube
Mic: Mic
T2T Translation: T2T Translation
BGM Separation: BGM Separation
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English?
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Advanced Parameters: Advanced Parameters
Background Music Remover Filter: Background Music Remover Filter
Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
Enable Background Music Remover Filter: Enable Background Music Remover Filter
Save separated files to output: Save separated files to output
Offload sub model after removing background music: Offload sub model after removing background music
Voice Detection Filter: Voice Detection Filter
Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
Enable Silero VAD Filter: Enable Silero VAD Filter
Diarization: Diarization
Enable Diarization: Enable Diarization
HuggingFace Token: HuggingFace Token
This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
Device: Device
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Record with Mic: Record with Mic
Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
Your Auth Key (API KEY): Your Auth Key (API KEY)
Source Language: Source Language
Target Language: Target Language
Pro User?: Pro User?
TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
Upload Audio Files to separate background music: Upload Audio Files to separate background music
Instrumental: Instrumental
Vocals: Vocals
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
fr: # French
Language: Langue
File: File
Youtube: Youtube
Mic: Mic
T2T Translation: T2T Translation
BGM Separation: BGM Separation
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English?
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Advanced Parameters: Advanced Parameters
Background Music Remover Filter: Background Music Remover Filter
Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
Enable Background Music Remover Filter: Enable Background Music Remover Filter
Save separated files to output: Save separated files to output
Offload sub model after removing background music: Offload sub model after removing background music
Voice Detection Filter: Voice Detection Filter
Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
Enable Silero VAD Filter: Enable Silero VAD Filter
Diarization: Diarization
Enable Diarization: Enable Diarization
HuggingFace Token: HuggingFace Token
This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
Device: Device
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Record with Mic: Record with Mic
Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
Your Auth Key (API KEY): Your Auth Key (API KEY)
Source Language: Source Language
Target Language: Target Language
Pro User?: Pro User?
TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
Upload Audio Files to separate background music: Upload Audio Files to separate background music
Instrumental: Instrumental
Vocals: Vocals
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
de: # German
Language: Sprache
File: File
Youtube: Youtube
Mic: Mic
T2T Translation: T2T Translation
BGM Separation: BGM Separation
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English?
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Advanced Parameters: Advanced Parameters
Background Music Remover Filter: Background Music Remover Filter
Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
Enable Background Music Remover Filter: Enable Background Music Remover Filter
Save separated files to output: Save separated files to output
Offload sub model after removing background music: Offload sub model after removing background music
Voice Detection Filter: Voice Detection Filter
Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
Enable Silero VAD Filter: Enable Silero VAD Filter
Diarization: Diarization
Enable Diarization: Enable Diarization
HuggingFace Token: HuggingFace Token
This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
Device: Device
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Record with Mic: Record with Mic
Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
Your Auth Key (API KEY): Your Auth Key (API KEY)
Source Language: Source Language
Target Language: Target Language
Pro User?: Pro User?
TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
Upload Audio Files to separate background music: Upload Audio Files to separate background music
Instrumental: Instrumental
Vocals: Vocals
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
zh: # Chinese
Language: 语言
File: File
Youtube: Youtube
Mic: Mic
T2T Translation: T2T Translation
BGM Separation: BGM Separation
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English?
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Advanced Parameters: Advanced Parameters
Background Music Remover Filter: Background Music Remover Filter
Enabling this will remove background music: Enabling this will remove background music by submodel before transcribing
Enable Background Music Remover Filter: Enable Background Music Remover Filter
Save separated files to output: Save separated files to output
Offload sub model after removing background music: Offload sub model after removing background music
Voice Detection Filter: Voice Detection Filter
Enable this to transcribe only detected voice: Enable this to transcribe only detected voice parts by submodel.
Enable Silero VAD Filter: Enable Silero VAD Filter
Diarization: Diarization
Enable Diarization: Enable Diarization
HuggingFace Token: HuggingFace Token
This is only needed the first time you download the model: This is only needed the first time you download the model. If you already have models, you don't need to enter. To download the model, you must manually go to "https://huggingface.co/pyannote/speaker-diarization-3.1" and "https://huggingface.co/pyannote/segmentation-3.0" and agree to their requirement.
Device: Device
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Record with Mic: Record with Mic
Upload Subtitle Files to translate here: Upload Subtitle Files to translate here
Your Auth Key (API KEY): Your Auth Key (API KEY)
Source Language: Source Language
Target Language: Target Language
Pro User?: Pro User?
TRANSLATE SUBTITLE FILE: TRANSLATE SUBTITLE FILE
Upload Audio Files to separate background music: Upload Audio Files to separate background music
Instrumental: Instrumental
Vocals: Vocals
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
uk: # Ukrainian
Language: Мова
File: Файл
Youtube: Youtube
Mic: Мікрофон
T2T Translation: T2T Переклад
BGM Separation: Розділення фонової музики
GENERATE SUBTITLE FILE: СТВОРИТИ ФАЙЛ СУБТИТРІВ
Output: Результат
Downloadable output file: Завантажуваний файл результату
Upload File here: Завантажте файл тут
Model: Модель
Automatic Detection: Автоматичне визначення
File Format: Формат файлу
Translate to English?: Перекласти на англійську?
Add a timestamp to the end of the filename: Додати мітку часу до кінця імені файлу
Advanced Parameters: Розширені параметри
Background Music Remover Filter: Фільтр видалення фонової музики
Enabling this will remove background music: Увімкнення цього видалить фонову музику за допомогою підмоделі перед транскрипцією
Enable Background Music Remover Filter: Увімкнути фільтр видалення фонової музики
Save separated files to output: Зберегти розділені файли до вихідної папки
Offload sub model after removing background music: Вивантажити підмодель після видалення фонової музики
Voice Detection Filter: Фільтр розпізнавання голосу
Enable this to transcribe only detected voice: Увімкніть це, щоб транскрибувати лише розпізнані голосові частини за допомогою підмоделі
Enable Silero VAD Filter: Увімкнути фільтр Silero VAD
Diarization: Діаризація
Enable Diarization: Увімкнути діаризацію
HuggingFace Token: Токен HuggingFace
This is only needed the first time you download the model: Це потрібно лише при першому завантаженні моделі. Якщо у вас вже є моделі, вводити не потрібно. Щоб завантажити модель, потрібно вручну перейти на "https://huggingface.co/pyannote/speaker-diarization-3.1" та "https://huggingface.co/pyannote/segmentation-3.0" і погодитися з їхніми вимогами.
Device: Пристрій
Youtube Link: Посилання на Youtube
Youtube Thumbnail: Ескіз Youtube
Youtube Title: Назва Youtube
Youtube Description: Опис Youtube
Record with Mic: Записати з мікрофона
Upload Subtitle Files to translate here: Завантажте файли субтитрів для перекладу тут
Your Auth Key (API KEY): Ваш ключ авторизації (API KEY)
Source Language: Мова джерела
Target Language: Мова перекладу
Pro User?: Професійний користувач?
TRANSLATE SUBTITLE FILE: ПЕРЕКЛАСТИ ФАЙЛ СУБТИТРІВ
Upload Audio Files to separate background music: Завантажте аудіофайли для розділення фонової музики
Instrumental: Інструментал
Vocals: Вокал
SEPARATE BACKGROUND MUSIC: РОЗДІЛИТИ ФОНОВУ МУЗИКУ
ru: # Russian
Language: Язык
File: Файл
Youtube: Youtube
Mic: Микрофон
T2T Translation: Перевод T2T
BGM Separation: Разделение фоновой музыки
GENERATE SUBTITLE FILE: СГЕНЕРИРОВАТЬ ФАЙЛ СУБТИТРОВ
Output: Результат
Downloadable output file: Загружаемый файл результата
Upload File here: Загрузите файл здесь
Model: Модель
Automatic Detection: Автоматическое определение
File Format: Формат файла
Translate to English?: Перевести на английский?
Add a timestamp to the end of the filename: Добавить метку времени в конец имени файла
Advanced Parameters: Расширенные параметры
Background Music Remover Filter: Фильтр удаления фоновой музыки
Enabling this will remove background music: Включение этого удалит фоновую музыку с помощью подмодели перед транскрипцией
Enable Background Music Remover Filter: Включить фильтр удаления фоновой музыки
Save separated files to output: Сохранить разделенные файлы в выходную папку
Offload sub model after removing background music: Выгрузить подмодель после удаления фоновой музыки
Voice Detection Filter: Фильтр обнаружения голоса
Enable this to transcribe only detected voice: Включите это, чтобы транскрибировать только обнаруженные голосовые части с помощью подмодели
Enable Silero VAD Filter: Включить фильтр Silero VAD
Diarization: Диаризация
Enable Diarization: Включить диаризацию
HuggingFace Token: Токен HuggingFace
This is only needed the first time you download the model: Это нужно только при первом скачивании модели. Если у вас уже есть модели, вводить не нужно. Чтобы скачать модель, нужно вручную перейти на "https://huggingface.co/pyannote/speaker-diarization-3.1" и "https://huggingface.co/pyannote/segmentation-3.0" и согласиться с их требованиями.
Device: Устройство
Youtube Link: Ссылка на Youtube
Youtube Thumbnail: Миниатюра Youtube
Youtube Title: Название Youtube
Youtube Description: Описание Youtube
Record with Mic: Записать с микрофона
Upload Subtitle Files to translate here: Загрузите файлы субтитров для перевода здесь
Your Auth Key (API KEY): Ваш Auth Key (API KEY)
Source Language: Исходный язык
Target Language: Целевой язык
Pro User?: Профессиональный пользователь?
TRANSLATE SUBTITLE FILE: ПЕРЕВЕСТИ ФАЙЛ СУБТИТРОВ
Upload Audio Files to separate background music: Загрузите аудиофайлы для разделения фоновой музыки
Instrumental: Инструментал
Vocals: Вокал
SEPARATE BACKGROUND MUSIC: РАЗДЕЛИТЬ ФОНОВУЮ МУЗЫКУ