ASRT SpeechRecognition
nl8590687
A Deep-Learning-Based Chinese Speech Recognition System 基于深度学习的中文语音识别系统
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8.4KGitHub
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Results · “chinese-speech-synthesis”
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Speech AI Forge
lenML
🍦 Speech-AI-Forge is a project developed around TTS generation model, implementing an API Server and a Gradio-based WebUI.
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1.4KGitHub
PaddleSpeech
PaddlePaddle
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System,…
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12.6KGitHub
11.6KGitHub
Speech Recognition
Uberi
Speech recognition module for Python, supporting several engines and APIs, online and offline.
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9KGitHub
9.9KGitHub
Mlx Audio
Blaizzy
A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon.
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7.4KGitHub
Cognitive Speech TTS
Azure-Samples
Microsoft Text-to-Speech API sample code in several languages, part of Cognitive Services.
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1KGitHub
Fun ASR
FunAudioLLM
End-to-end speech recognition large model: 31 languages, dialects, accents, lyrics, hotwords, timestamps, speaker diarization. Trained on tens of millions of hours.
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1.3KGitHub
Whisper Finetune
yeyupiaoling
Fine-tune the Whisper speech recognition model to support training without timestamp data, training with timestamp data, and training without speech data. Accelerate inf…
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1.2KGitHub
Lhotse
lhotse-speech
Tools for handling multimodal data in machine learning projects.
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1.1KGitHub
Edge Tts
rany2
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
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11.3KGitHub
Amphion
open-mmlab
Amphion (/æmˈfaɪən/) is a toolkit for Audio, Music, and Speech Generation. Its purpose is to support reproducible research and help junior researchers and engineers get…
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9.8KGitHub
Espeak Ng
espeak-ng
eSpeak NG is an open source speech synthesizer that supports more than hundred languages and accents.
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6.6KGitHub
4KGitHub
WhisperX
m-bain
WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)
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22.6KGitHub
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