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An AI-Powered Speech Processing Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Enhancement, Separation, and Target Speaker Extraction, etc.
Repo for source code of EBEN: Extreme Bandwidth Extension Network
Keep track of good articles on speech processing, mainly on speech enhancement, include speech denoise, speech dereverberation and aec、agc, etc.
Phase Aware Deep Speech Enhancement - Pytorch
A library for audio and music analysis, feature extraction.
A Python library aimed at acousticians.
A deep neural network architecture for low-latency audio processing
A PyTorch implementation of "TasNet: Surpassing Ideal Time-Frequency Masking for Speech Separation" (see recipes in aps framework https://github.com/funcwj/aps)
MACE is a deep learning inference framework optimized for mobile heterogeneous computing platforms.
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)
AudioLDM: Generate speech, sound effects, music and beyond, with text.
收集关于嵌入式领域的机器学习算法实现的进展、相关论文和文章、开发库等,帮助初学者快速了解、学习和入门嵌入式领域的机器学习。CC-BY-NC-SA 4.0。
Flexible audio loudness meter in Python with implementation of ITU-R BS.1770-4 loudness algorithm
A timeline of the latest AI models for audio generation, starting in 2023!
Block-Online Multi-Channel Speech Enhancement Using DNN-Supported Relative Transfer Function Estimates
partitioned block based frequency domain Kalman filter
Python package for road acoustics simulation based on variable length delay lines.
spatial signal processing toolkit a.k.a beamforming toolkit 2.0 (BTK2.0)
This library provides common speech features for ASR including MFCCs and filterbank energies.