speech

25 Projekte teilen dieses GitHub-Topic

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🚀Clone a voice in 5 seconds to generate arbitrary speech in real-time

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

💬 Speech recognition for your site

whisper-diarization

Automatic Speech Recognition with Speaker Diarization based on OpenAI Whisper

A fast multimodal LLM for real-time voice

Foundational model for human-like, expressive TTS

MARS5 speech model (TTS) from CAMB.AI

Controllable and fast Text-to-Speech for over 7000 languages!

Open-Source Large Vocabulary Continuous Speech Recognition Engine

Allosaurus is a pretrained universal phone recognizer for more than 2000 languages

VITS2: Improving Quality and Efficiency of Single-Stage Text-to-Speech with Adversarial Learning and…

SpeechIO Leaderboard: a large, robust, comprehensive, benchmarking platform for Automatic Speech Recognition.

UniSpeech - Large Scale Self-Supervised Learning for Speech

HuggingSound: A toolkit for speech-related tasks based on Hugging Face's tools

docker-whisperX

Dockerfile for WhisperX: Automatic Speech Recognition with Word-Level Timestamps and Speaker Diarization…

Ming-UniAudio: Speech LLM for Joint Understanding, Generation and Editing with Unified Representation

speech-recognition-uk

🇺🇦 Speech Recognition & Synthesis for Ukrainian

Implementation of WaveGrad high-fidelity vocoder from Google Brain in PyTorch.

✨✨Freeze-Omni: A Smart and Low Latency Speech-to-speech Dialogue Model with Frozen LLM

A live speech recognition using Facebooks wav2vec 2.0 model.

Joint speech-language model - respond directly to audio!

A simple Azure Speech Service module that uses the Microsoft Edge Read Aloud API.…

AudioBench: A Universal Benchmark for Audio Large Language Models

end2end-asr-pytorch

End-to-End Automatic Speech Recognition on PyTorch

🔗 Verwandte Familien

speech-recognition 72 asr 90 speech-to-text 31 speech-synthesis 29 audio 57 text-to-speech 47 speech-processing 5 audio-processing 25

Gemessen anhand der von beiden Projekten geteilten GitHub-Themen, gewichtet nach der Seltenheit jedes Themas.