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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: Fichier
Youtube: Youtube
Mic: Microphone
T2T Translation: Traduction T2T
BGM Separation: Séparation de la musique de fond
GENERATE SUBTITLE FILE: GÉNÉRER UN FICHIER DE SOUS-TITRES
Output: Sortie
Downloadable output file: Fichier de sortie téléchargeable
Upload File here: Téléverser un fichier ici
Model: Modèle
Automatic Detection: Détection automatique
File Format: Format de fichier
Translate to English?: Traduire en anglais ?
Add a timestamp to the end of the filename: Ajouter un timestamp à la fin du nom de fichier
Advanced Parameters: Paramètres avancés
Background Music Remover Filter: Filtre de suppression de musique de fond
Enabling this will remove background music: L'activation supprimera la musique de fond via un sous-modèle avant la transcription
Enable Background Music Remover Filter: Activer le filtre de suppression de musique de fond
Save separated files to output: Sauvegarder les fichiers séparés dans la sortie
Offload sub model after removing background music: Décharger le sous-modèle après avoir supprimé la musique de fond
Voice Detection Filter: Filtre de détection vocale
Enable this to transcribe only detected voice: Activer pour transcrire uniquement la voix détectée
Enable Silero VAD Filter: Activer le filtre Silero VAD
Diarization: Diarisation
Enable Diarization: Activer la diarisation
HuggingFace Token: Token HuggingFace
This is only needed the first time you download the model: Le token n'est nécessaire que lors du premier téléchargement du modèle. Si vous avez déjà les modèles, vous n'avez pas besoin de l'entrer. Pour télécharger le modèle, vous devez aller manuellement sur "https://huggingface.co/pyannote/speaker-diarization-3.1" et "https://huggingface.co/pyannote/segmentation-3.0" et accepter leurs conditions.
Device: Périphérique
Youtube Link: Lien Youtube
Youtube Thumbnail: Miniature Youtube
Youtube Title: Titre Youtube
Youtube Description: Description Youtube
Record with Mic: Enregistrer avec le microphone
Upload Subtitle Files to translate here: Téléverser ici les fichiers de sous-titres à traduire
Your Auth Key (API KEY): Votre clé d'authentification (API KEY)
Source Language: Langue source
Target Language: Langue cible
Pro User?: Utilisateur Pro ?
TRANSLATE SUBTITLE FILE: TRADUIRE LE FICHIER DE SOUS-TITRES
Upload Audio Files to separate background music: Téléverser les fichiers audio pour séparer la musique de fond
Instrumental: Instrumental
Vocals: Voix
SEPARATE BACKGROUND MUSIC: SÉPARER LA MUSIQUE DE FOND
de: # Deutsch
Language: Sprache
File: Datei
Youtube: Youtube
Mic: Mikrofon
T2T Translation: Text zu Text Übersetzung
BGM Separation: Hintergrundmusik herausfiltern
GENERATE SUBTITLE FILE: UNTERTITELDATEI ERSTELLEN
Output: Ausgabe
Downloadable output file: Herunterladbare Ausgabedatei
Upload File here: Datei hier hochladen
Model: Modell
Automatic Detection: Automatische Erkennung
File Format: Dateiformat
Translate to English?: Ins Englische übersetzen?
Add a timestamp to the end of the filename: Zeitstempel an den Dateinamen anhängen
Advanced Parameters: Erweiterte Parameter
Background Music Remover Filter: Hintergrundmusik-Entfernungsfilter
Enabling this will remove background music: Aktivierung entfernt Hintergrundmusik mithilfe des Submodells vor der Transkription
Enable Background Music Remover Filter: Hintergrundmusik-Entfernungsfilter aktivieren
Save separated files to output: Getrennte Dateien in der Ausgabe speichern
Offload sub model after removing background music: Submodell nach Entfernung der Hintergrundmusik entladen
Voice Detection Filter: Sprachfilter
Enable this to transcribe only detected voice: Aktivieren, um nur erkannte Sprachsegmente mithilfe des Submodells zu transkribieren.
Enable Silero VAD Filter: Silero VAD-Filter aktivieren
Diarization: Diarisierung
Enable Diarization: Diarisierung aktivieren
HuggingFace Token: HuggingFace-Token
This is only needed the first time you download the model: Dies ist nur erforderlich, wenn Sie das Modell zum ersten Mal herunterladen. Falls Sie die Modelle bereits besitzen, ist dies nicht nötig. Um das Modell herunterzuladen, müssen Sie manuell die Seiten „https://huggingface.co/pyannote/speaker-diarization-3.1“ und „https://huggingface.co/pyannote/segmentation-3.0“ besuchen und deren Anforderungen zustimmen.
Device: Gerät
Youtube Link: Youtube-Link
Youtube Thumbnail: Youtube-Thumbnail
Youtube Title: Youtube-Titel
Youtube Description: Youtube-Beschreibung
Record with Mic: Mit Mikrofon aufnehmen
Upload Subtitle Files to translate here: Untertiteldateien zur Übersetzung hier hochladen
Your Auth Key (API KEY): Ihr Authentifizierungsschlüssel (API-Schlüssel)
Source Language: Ausgangssprache
Target Language: Zielsprache
Pro User?: Pro-Benutzer?
TRANSLATE SUBTITLE FILE: UNTERTITELDATEI ÜBERSETZEN
Upload Audio Files to separate background music: Audiodateien hochladen, um Hintergrundmusik zu trennen
Instrumental: Instrumental
Vocals: Gesang
SEPARATE BACKGROUND MUSIC: HINTERGRUNDMUSIK TRENNEN
zh: # Chinese
Language: 语言
File: 文件
Youtube: Youtube
Mic: 麦克风
T2T Translation: 文字翻译
BGM Separation: 背景音乐分离
GENERATE SUBTITLE FILE: 生成字幕文件
Output: 输出
Downloadable output file: 生成的字幕文件
Upload File here: 上传文件
Model: 模型选择
Automatic Detection: 自动检测语言
File Format: 字幕文件格式
Translate to English?: 将字幕翻译成英语
Add a timestamp to the end of the filename: 在文件名末尾加入时间戳
Advanced Parameters: 高级参数
Background Music Remover Filter: 背景音乐消除设置
Enabling this will remove background music: 启用此功能将会在进行转录前去除背景音乐
Enable Background Music Remover Filter: 去除背景音乐
Save separated files to output: 导出分离出的音频文件
Offload sub model after removing background music: 移除背景音乐后卸载子模型
Voice Detection Filter: 话音检测设置
Enable this to transcribe only detected voice: 启用此功能将仅转录检测到的语音部分
Enable Silero VAD Filter: 启用 Silero 语音活动检测 (VAD)
Diarization: 说话人分离设置
Enable Diarization: 进行说话人分离处理
HuggingFace Token: HuggingFace令牌
This is only needed the first time you download the model: 当且仅当您首次下载模型时才需要在此输入令牌，如果您已有模型则无需输入。 要下载模型，您必须先在"https://huggingface.co/pyannote/speaker-diarization-3.1" 与 "https://huggingface.co/pyannote/segmentation-3.0" 上同意他们的使用条款。
Device: 设备
Youtube Link: Youtube视频链接
Youtube Thumbnail: Youtube视频封面
Youtube Title: Youtube视频标题
Youtube Description: Youtube视频简介
Record with Mic: 通过麦克风录制
Upload Subtitle Files to translate here: 上传待翻译的字幕文件
Your Auth Key (API KEY): 填写您的认证令牌(API KEY)
Source Language: 原语言
Target Language: 目标语言
Pro User?: 您是否为专业版用户？
TRANSLATE SUBTITLE FILE: 翻译字幕文件
Upload Audio Files to separate background music: 上传待分离背景音乐的音频文件
Instrumental: 器乐声
Vocals: 人声
SEPARATE BACKGROUND MUSIC: 分离背景音乐与人声
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
tr: # Turkish
Language: Dil
File: Dosya
Youtube: Youtube
Mic: Mikrofon
T2T Translation: T2T Çeviri
BGM Separation: Arka Plan Müziği Ayırma
GENERATE SUBTITLE FILE: ALTYAZI DOSYASI OLUŞTUR
Output: Çıktı
Downloadable output file: İndirilebilir çıktı dosyası
Upload File here: Dosya Yükle
Model: Model
Automatic Detection: Otomatik Algılama
File Format: Dosya Formatı
Translate to English?: İngilizceye Çevir?
Add a timestamp to the end of the filename: Dosya adının sonuna zaman damgası ekle
Advanced Parameters: Gelişmiş Parametreler
Background Music Remover Filter: Arka Plan Müziği Kaldırma Filtresi
Enabling this will remove background music: Bunu etkinleştirmek, arka plan müziğini alt model tarafından transkripsiyondan önce kaldıracaktır
Enable Background Music Remover Filter: Arka Plan Müziği Kaldırma Filtresini Etkinleştir
Save separated files to output: Ayrılmış dosyaları çıktıya kaydet
Offload sub model after removing background music: Arka plan müziği kaldırıldıktan sonra alt modeli devre dışı bırak
Voice Detection Filter: Ses Algılama Filtresi
Enable this to transcribe only detected voice: Bunu etkinleştirerek yalnızca alt model tarafından algılanan ses kısımlarını transkribe et
Enable Silero VAD Filter: Silero VAD Filtresini Etkinleştir
Diarization: Konuşmacı Ayrımı
Enable Diarization: Konuşmacı Ayrımını Etkinleştir
HuggingFace Token: HuggingFace Anahtarı
This is only needed the first time you download the model: Bu, modeli ilk kez indirirken gereklidir. Zaten modelleriniz varsa girmenize gerek yok. Modeli indirmek için "https://huggingface.co/pyannote/speaker-diarization-3.1" ve "https://huggingface.co/pyannote/segmentation-3.0" adreslerine gidip gereksinimlerini kabul etmeniz gerekiyor
Device: Cihaz
Youtube Link: Youtube Bağlantısı
Youtube Thumbnail: Youtube Küçük Resmi
Youtube Title: Youtube Başlığı
Youtube Description: Youtube Açıklaması
Record with Mic: Mikrofonla Kaydet
Upload Subtitle Files to translate here: Çeviri için altyazı dosyalarını buraya yükle
Your Auth Key (API KEY): Yetki Anahtarınız (API ANAHTARI)
Source Language: Kaynak Dil
Target Language: Hedef Dil
Pro User?: Pro Kullanıcı?
TRANSLATE SUBTITLE FILE: ALTYAZI DOSYASINI ÇEVİR
Upload Audio Files to separate background music: Arka plan müziğini ayırmak için ses dosyalarını yükle
Instrumental: Enstrümantal
Vocals: Vokal
SEPARATE BACKGROUND MUSIC: ARKA PLAN MÜZİĞİNİ AYIR
eu: # Basque
Language: Hizkuntza
File: Fitxategia
Youtube: Youtube
Mic: Mik
T2T Translation: T2T Itzulketak
BGM Separation: BGM Bereizpena
GENERATE SUBTITLE FILE: SORTU AZPITITULU-FITXATEGIA
Output: Irteera
Downloadable output file: Irteera fitxategia deskargagarria
Upload File here: Igo fitxategia hemen
Model: Eredua
Automatic Detection: Detekzio Automatikoa
File Format: Fitxategi Formatua
Translate to English?: Itzuli ingelesera?
Add a timestamp to the end of the filename: Gehitu denbora marka fitxategi amaieran
Advanced Parameters: Aukera Aurreratuak
Background Music Remover Filter: Atzeko Musika Ezabatzeko Filtroa
Enabling this will remove background music: Hau aktibatuz, transkribatu aurretik atzeko musika ezabatuko zaio azpieredu baten bidez
Enable Background Music Remover Filter: Aktibatu Atzeko Musika Ezabatzeko Filtroa
Save separated files to output: Gorde fitxategi bereiziak irteeran
Offload sub model after removing background music: Atzeko musika kendu ondoren azpieredua memoriatik kendu
Voice Detection Filter: Ahots Detekzio Filtroa
Enable this to transcribe only detected voice: Aktibatu hau azpieredu batekin soilik detektatutako ahots zatiak transkribatzeko.
Enable Silero VAD Filter: Aktibatu Silero VAD Filtroa
Diarization: Diarizazioa
Enable Diarization: Aktibatu Diarizazioa
HuggingFace Token: HuggingFace Tokena
This is only needed the first time you download the model: Soilik beharrezkoa eredua deskargatzen den lehen aldian. Jadanik eredu hauek deskargatuta, ez duzu berriz ere sartu behar. Eredua deskargatzeko, joan hurrengo esteketara "https://huggingface.co/pyannote/speaker-diarization-3.1" eta "https://huggingface.co/pyannote/segmentation-3.0" eta onartu haien erabilpen-baldintzak.
Device: Gailua
Youtube Link: Youtube Esteka
Youtube Thumbnail: Youtube Irudia
Youtube Title: Youtube Izenburua
Youtube Description: Youtube Deskribapena
Record with Mic: Mik. bidez grabatu
Upload Subtitle Files to translate here: Igo hemen azpititulu fitxategia itzulketarako
Your Auth Key (API KEY): Zure Auth Giltza (API KEY)
Source Language: Jatorrizko Hizkuntza
Target Language: Helburuko Hizkuntza
Pro User?: Pro Erabiltzailea?
TRANSLATE SUBTITLE FILE: ITZULI AZPITITULU FITXATEGIA
Upload Audio Files to separate background music: Igo Audio Fitxategiak atzeko musika bereizteko
Instrumental: Instrumentala
Vocals: Ahotsak
SEPARATE BACKGROUND MUSIC: BEREIZI ATZEKO MUSIKA