StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
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Updated
Jun 11, 2024 - Python
StreamSpeech is an “All in One” seamless model for offline and simultaneous speech recognition, speech translation and speech synthesis.
Text-to-Speech Toolkit of the Speech and Language Technologies Group at the University of Stuttgart. Objectives of the development are simplicity, modularity, controllability and multilinguality.
A PyTorch-based Speech Toolkit
Speech, Language, Audio, Music Processing with Large Language Model
Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis
Real-time Voice Activity Detection (VAD) with some example use case like simple voice bot and live transcription (realtime transcription)
😎 Awesome lists about Speech Emotion Recognition
Scripts for data generation, scoring and data manifest preparation for CHiME-8 DASR task.
Reading list for research topics in multimodal machine learning
Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding
Speaker identification on audio files using the pyannote/embedding model.
Cross-platform, real-time, offline speech recognition plugin for Unreal Engine. Based on Whisper OpenAI technology, whisper.cpp.
General Speech Restoration
Python library for converting numbers to words for all Indian Languages.
Implementation of [Librosa](https://github.com/librosa/librosa) like [STFT](https://en.wikipedia.org/wiki/Short-time_Fourier_transform) using [FFTW](https://www.fftw.org/)
🔉 spafe: Simplified Python Audio Features Extraction
Python implementation of a few speech intelligibility prediction algorithms
AI powered speech denoising and enhancement
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