en:
Language: Language
Upload File here: Upload File here
Model: Model
Automatic Detection: Automatic Detection
File Format: File Format
Translate to English?: Translate to English? (Whisper's End-To-End Speech-To-Text
translation feature)
Add a timestamp to the end of the filename: Add a timestamp to the end of the filename
Offload sub model when finished: Offload model when finished
Advanced Parameters: Advanced Parameters
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
Device: Device
Save separated files to output: Save separated files to output
Background Music Remover Filter: Background Music Remover 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
Voice Detection Filter: Voice Detection Filter
Enable Diarization: Enable Diarization
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.
HuggingFace Token: HuggingFace Token
Diarization: Diarization
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
File: File
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Youtube: Youtube
Record with Mic: Record with Mic
Mic: 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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T Translation
Upload Audio Files to separate background music: Upload Audio Files to separate
background music
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
Instrumental: Instrumental
Vocals: Vocals
BGM Separation: BGM Separation
ko:
Language: 언어
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
Offload sub model when finished: 완료 후 모델 오프로드. (VRAM 이 부족할 시 체크하세요.)
Advanced Parameters: 고급 변수
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
Device: 디바이스
Save separated files to output: 분리된 배경 음악 & 음성 파일 따로 출력 폴더에 저장
Background Music Remover Filter: 배경 음악 제거 필터
Enable this to transcribe only detected voice: 서브 모델에 의해 목소리라고 판단된 부분만 받아쓰기를 진행합니다.
Enable Silero VAD Filter: Silero VAD 필터 활성화
Voice Detection Filter: 목소리 감지 필터
Enable Diarization: 화자 구분 활성화
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.
HuggingFace Token: 허깅페이스 토큰
Diarization: 화자 구분
GENERATE SUBTITLE FILE: 자막 파일 생성
Output: 결과물
Downloadable output file: 결과물 파일 다운로드
File: 파일
Youtube Link: 유튜브 링크
Youtube Thumbnail: 유튜브 썸네일
Youtube Title: 유튜브 제목
Youtube Description: 유튜브 설명
Youtube: 유튜브
Record with Mic: 마이크로 녹음하세요
Mic: 마이크
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T 자막 번역
Upload Audio Files to separate background music: 배경 음악을 분리할 오디오 파일을 업로드 하세요
SEPARATE BACKGROUND MUSIC: 배경 음악 분리
Instrumental: 악기
Vocals: 보컬
BGM Separation: 배경 음악 분리
ja:
Language: 言語
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
Offload sub model when finished: Offload model when finished
Advanced Parameters: Advanced Parameters
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
Device: Device
Save separated files to output: Save separated files to output
Background Music Remover Filter: Background Music Remover 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
Voice Detection Filter: Voice Detection Filter
Enable Diarization: Enable Diarization
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.
HuggingFace Token: HuggingFace Token
Diarization: Diarization
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
File: File
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Youtube: Youtube
Record with Mic: Record with Mic
Mic: 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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T Translation
Upload Audio Files to separate background music: Upload Audio Files to separate
background music
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
Instrumental: Instrumental
Vocals: Vocals
BGM Separation: BGM Separation
es:
Language: Idioma
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
Offload sub model when finished: Offload model when finished
Advanced Parameters: Advanced Parameters
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
Device: Device
Save separated files to output: Save separated files to output
Background Music Remover Filter: Background Music Remover 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
Voice Detection Filter: Voice Detection Filter
Enable Diarization: Enable Diarization
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.
HuggingFace Token: HuggingFace Token
Diarization: Diarization
GENERATE SUBTITLE FILE: GENERATE SUBTITLE FILE
Output: Output
Downloadable output file: Downloadable output file
File: File
Youtube Link: Youtube Link
Youtube Thumbnail: Youtube Thumbnail
Youtube Title: Youtube Title
Youtube Description: Youtube Description
Youtube: Youtube
Record with Mic: Record with Mic
Mic: 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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T Translation
Upload Audio Files to separate background music: Upload Audio Files to separate
background music
SEPARATE BACKGROUND MUSIC: SEPARATE BACKGROUND MUSIC
Instrumental: Instrumental
Vocals: Vocals
BGM Separation: BGM Separation
fr:
Language: Langue
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
Offload sub model when finished: Décharger le sous-modèle une fois terminé
Advanced Parameters: Paramètres avancés
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
Device: Périphérique
Save separated files to output: Sauvegarder les fichiers séparés dans la sortie
Background Music Remover Filter: Filtre de suppression de musique de fond
Enable this to transcribe only detected voice: Activer pour transcrire uniquement
la voix détectée
Enable Silero VAD Filter: Activer le filtre Silero VAD
Voice Detection Filter: Filtre de détection vocale
Enable Diarization: Activer la diarisation
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.
HuggingFace Token: Token HuggingFace
Diarization: Diarisation
GENERATE SUBTITLE FILE: GÉNÉRER UN FICHIER DE SOUS-TITRES
Output: Sortie
Downloadable output file: Fichier de sortie téléchargeable
File: Fichier
Youtube Link: Lien Youtube
Youtube Thumbnail: Miniature Youtube
Youtube Title: Titre Youtube
Youtube Description: Description Youtube
Youtube: Youtube
Record with Mic: Enregistrer avec le microphone
Mic: 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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: Traduction T2T
Upload Audio Files to separate background music: Téléverser les fichiers audio pour
séparer la musique de fond
SEPARATE BACKGROUND MUSIC: SÉPARER LA MUSIQUE DE FOND
Instrumental: Instrumental
Vocals: Voix
BGM Separation: Séparation de la musique de fond
de:
Language: Sprache
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
Offload sub model when finished: Submodell entladen wenn nicht mehr benötigt
Advanced Parameters: Erweiterte Parameter
Enabling this will remove background music: Aktivierung entfernt Hintergrundmusik
mithilfe des Submodells vor der Transkription
Enable Background Music Remover Filter: Hintergrundmusik-Entfernungsfilter aktivieren
Device: Gerät
Save separated files to output: Getrennte Dateien in der Ausgabe speichern
Background Music Remover Filter: Hintergrundmusik-Entfernungsfilter
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
Voice Detection Filter: Sprachfilter
Enable Diarization: Diarisierung aktivieren
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.
HuggingFace Token: HuggingFace-Token
Diarization: Diarisierung
GENERATE SUBTITLE FILE: UNTERTITELDATEI ERSTELLEN
Output: Ausgabe
Downloadable output file: Herunterladbare Ausgabedatei
File: Datei
Youtube Link: Youtube-Link
Youtube Thumbnail: Youtube-Thumbnail
Youtube Title: Youtube-Titel
Youtube Description: Youtube-Beschreibung
Youtube: Youtube
Record with Mic: Mit Mikrofon aufnehmen
Mic: Mikrofon
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: Text zu Text Übersetzung
Upload Audio Files to separate background music: Audiodateien hochladen, um Hintergrundmusik
zu trennen
SEPARATE BACKGROUND MUSIC: HINTERGRUNDMUSIK TRENNEN
Instrumental: Instrumental
Vocals: Gesang
BGM Separation: Hintergrundmusik herausfiltern
zh:
Language: 语言
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
Offload sub model when finished: 完成后卸载子模型
Advanced Parameters: 高级参数
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
Device: 设备
Save separated files to output: 导出分离出的音频文件
Background Music Remover Filter: 背景音乐消除设置
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)
Voice Detection Filter: 话音检测设置
Enable Diarization: 进行说话人分离处理
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。
HuggingFace Token: HuggingFace令牌
Diarization: 说话人分离设置
GENERATE SUBTITLE FILE: 生成字幕文件
Output: 输出
Downloadable output file: 生成的字幕文件
File: 文件
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
Youtube: Youtube
Record with Mic: 通过麦克风录制
Mic: 麦克风
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: 文字翻译
Upload Audio Files to separate background music: 上传待分离背景音乐的音频文件
SEPARATE BACKGROUND MUSIC: 分离背景音乐与人声
Instrumental: 器乐声
Vocals: 人声
BGM Separation: 背景音乐分离
uk:
Language: Мова
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
Offload sub model when finished: Після завершення вивантажте підмодель
Advanced Parameters: Розширені параметри
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
Device: Пристрій
Save separated files to output: Зберегти розділені файли до вихідної папки
Background Music Remover Filter: Фільтр видалення фонової музики
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
Voice Detection Filter: Фільтр розпізнавання голосу
Enable Diarization: Увімкнути діаризацію
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.
HuggingFace Token: Токен HuggingFace
Diarization: Діаризація
GENERATE SUBTITLE FILE: СТВОРИТИ ФАЙЛ СУБТИТРІВ
Output: Результат
Downloadable output file: Завантажуваний файл результату
File: Файл
Youtube Link: Посилання на Youtube
Youtube Thumbnail: Ескіз Youtube
Youtube Title: Назва Youtube
Youtube Description: Опис Youtube
Youtube: Youtube
Record with Mic: Записати з мікрофона
Mic: Мікрофон
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T Переклад
Upload Audio Files to separate background music: Завантажте аудіофайли для розділення
фонової музики
SEPARATE BACKGROUND MUSIC: РОЗДІЛИТИ ФОНОВУ МУЗИКУ
Instrumental: Інструментал
Vocals: Вокал
BGM Separation: Розділення фонової музики
ru:
Language: Язык
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
Offload sub model when finished: Выгрузить подмодель после завершения
Advanced Parameters: Расширенные параметры
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
Device: Устройство
Save separated files to output: Сохранить разделенные файлы в выходную папку
Background Music Remover Filter: Фильтр удаления фоновой музыки
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
Voice Detection Filter: Фильтр обнаружения голоса
Enable Diarization: Включить диаризацию
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.
HuggingFace Token: Токен HuggingFace
Diarization: Диаризация
GENERATE SUBTITLE FILE: СГЕНЕРИРОВАТЬ ФАЙЛ СУБТИТРОВ
Output: Результат
Downloadable output file: Загружаемый файл результата
File: Файл
Youtube Link: Ссылка на Youtube
Youtube Thumbnail: Миниатюра Youtube
Youtube Title: Название Youtube
Youtube Description: Описание Youtube
Youtube: Youtube
Record with Mic: Записать с микрофона
Mic: Микрофон
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: Перевод T2T
Upload Audio Files to separate background music: Загрузите аудиофайлы для разделения
фоновой музыки
SEPARATE BACKGROUND MUSIC: РАЗДЕЛИТЬ ФОНОВУЮ МУЗЫКУ
Instrumental: Инструментал
Vocals: Вокал
BGM Separation: Разделение фоновой музыки
tr:
Language: Dil
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
Offload sub model when finished: Alt modeli bitirdiğinizde boşaltın
Advanced Parameters: Gelişmiş Parametreler
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
Device: Cihaz
Save separated files to output: Ayrılmış dosyaları çıktıya kaydet
Background Music Remover Filter: Arka Plan Müziği Kaldırma 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
Voice Detection Filter: Ses Algılama Filtresi
Enable Diarization: Konuşmacı Ayrımını Etkinleştir
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
HuggingFace Token: HuggingFace Anahtarı
Diarization: Konuşmacı Ayrımı
GENERATE SUBTITLE FILE: ALTYAZI DOSYASI OLUŞTUR
Output: Çıktı
Downloadable output file: İndirilebilir çıktı dosyası
File: Dosya
Youtube Link: Youtube Bağlantısı
Youtube Thumbnail: Youtube Küçük Resmi
Youtube Title: Youtube Başlığı
Youtube Description: Youtube Açıklaması
Youtube: Youtube
Record with Mic: Mikrofonla Kaydet
Mic: Mikrofon
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T Çeviri
Upload Audio Files to separate background music: Arka plan müziğini ayırmak için
ses dosyalarını yükle
SEPARATE BACKGROUND MUSIC: ARKA PLAN MÜZİĞİNİ AYIR
Instrumental: Enstrümantal
Vocals: Vokal
BGM Separation: Arka Plan Müziği Ayırma
eu:
Language: Hizkuntza
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
Offload sub model when finished: Deskargatu azpieredua amaitutakoan
Advanced Parameters: Aukera Aurreratuak
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
Device: Gailua
Save separated files to output: Gorde fitxategi bereiziak irteeran
Background Music Remover Filter: Atzeko Musika Ezabatzeko 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
Voice Detection Filter: Ahots Detekzio Filtroa
Enable Diarization: Aktibatu Diarizazioa
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.
HuggingFace Token: HuggingFace Tokena
Diarization: Diarizazioa
GENERATE SUBTITLE FILE: SORTU AZPITITULU-FITXATEGIA
Output: Irteera
Downloadable output file: Irteera fitxategia deskargagarria
File: Fitxategia
Youtube Link: Youtube Esteka
Youtube Thumbnail: Youtube Irudia
Youtube Title: Youtube Izenburua
Youtube Description: Youtube Deskribapena
Youtube: Youtube
Record with Mic: Mik. bidez grabatu
Mic: Mik
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
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: T2T Itzulketak
Upload Audio Files to separate background music: Igo Audio Fitxategiak atzeko musika
bereizteko
SEPARATE BACKGROUND MUSIC: BEREIZI ATZEKO MUSIKA
Instrumental: Instrumentala
Vocals: Ahotsak
BGM Separation: BGM Bereizpena
he:
Language: שפה
Upload File here: העלה קובץ כאן
Model: מודל
Automatic Detection: זיהוי אוטומטי
File Format: פורמט קובץ
Translate to English?: לתרגם לאנגלית?
Add a timestamp to the end of the filename: הוסף חותמת זמן לסוף שם הקובץ
Offload sub model when finished: נתק מודל משנה לאחר סיום
Advanced Parameters: פרמטרים מתקדמים
Enabling this will remove background music: הפעלה תסיר מוזיקת רקע באמצעות מודל משנה
לפני תמלול
Enable Background Music Remover Filter: אפשר מסנן הסרת מוזיקת רקע
Device: התקן
Save separated files to output: שמור קבצים מופרדים לפלט
Background Music Remover Filter: מסנן הסרת מוזיקת רקע
Enable this to transcribe only detected voice: אפשר זאת כדי לתמלל רק קטעי קול שזוהו
על ידי מודל המשנה
Enable Silero VAD Filter: אפשר מסנן Silero VAD
Voice Detection Filter: מסנן זיהוי קול
Enable Diarization: אפשר דיאריזציה
This is only needed the first time you download the model: זה נדרש רק בפעם הראשונה
שאתה מוריד את המודל. אם כבר יש לך את המודלים, אין צורך להזין זאת
HuggingFace Token: אסימון HuggingFace
Diarization: דיאריזציה (זיהוי דוברים)
GENERATE SUBTITLE FILE: צור קובץ כתוביות
Output: פלט
Downloadable output file: קובץ פלט להורדה
File: קובץ
Youtube Link: קישור יוטיוב
Youtube Thumbnail: תמונת תצוגה מקדימה של יוטיוב
Youtube Title: כותרת יוטיוב
Youtube Description: תיאור יוטיוב
Youtube: יוטיוב
Record with Mic: הקלט עם מיקרופון
Mic: מיקרופון
Upload Subtitle Files to translate here: העלה כאן קבצי כתוביות לתרגום
Your Auth Key (API KEY): מפתח אימות שלך (API KEY)
Source Language: שפת מקור
Target Language: שפת יעד
Pro User?: משתמש פרו?
TRANSLATE SUBTITLE FILE: תרגם קובץ כתוביות
DeepL API: DeepL API
NLLB: NLLB
T2T Translation: תרגום T2T
Upload Audio Files to separate background music: העלה קבצי שמע להפרדת מוזיקת רקע
SEPARATE BACKGROUND MUSIC: הפרד מוזיקת רקע
Instrumental: אינסטרומנטלי
Vocals: שירה
BGM Separation: הפרדת מוזיקת רקע