71 Open source projects that are alternatives of or similar to Pb_bss

python speech signal processing library

A curated list of awesome Speech Enhancement papers, libraries, datasets, and other resources.

Problem Agnostic Speech Encoder

Reading list for research topics in multimodal machine learning

Pytorch implementation of subband decomposition

Open source audio annotation tool for humans™

This is the main repository of open-sourced speech technology by Huawei Noah's Ark Lab.

Discriminative Neural Clustering for Speaker Diarisation

This repository is a curated list of awesome Speech Keyword Spotting (Wake-Up Word Detection).

This repository has implementation for "Neural Voice Cloning With Few Samples"

[wip]Speech recognition tool-box written by Nim. Based on Arraymancer.

A data annotation pipeline to generate high-quality, large-scale speech datasets with machine pre-labeling and fully manual auditing.

Natural Language Processing to generate new speeches for the President of Turkey.

UniSpeech - Large Scale Self-Supervised Learning for Speech

A modified version of Speech Signal Processing Toolkit (SPTK)

Spokestack: give your iOS app a voice interface!

A neural network for end-to-end speech denoising

Trained speaker embedding deep learning models and evaluation pipelines in pytorch and tesorflow for speaker recognition.

Deep Learning-based Voice Conversion system

Pitch shifter using WSOLA and resampling implemented by Python3

Library to build speech synthesis systems designed for easy and fast prototyping.

Spokestack: give your React Native app a voice interface!

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Bob is a free signal-processing and machine learning toolbox originally developed by the Biometrics group at Idiap Research Institute, in Switzerland. - Mirrored from https://gitlab.idiap.ch/bob/bob

Tracking the progress in end-to-end speech translation

(1st place at HopHacks) A dynamic webVR memory palace for speech training, utilizing natural language processing and Google Streetview API

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DNN and end-to-end), speaker recognition, speech enhancement, speech separation, multi-microphone speech processing, and many others.

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

Scripts for LIUM SpkDiarization tools

Emotion recognition by speech in android.

ttslearn: Library for Pythonで学ぶ音声合成 (Text-to-speech with Python)

SincNet is a neural architecture for efficiently processing raw audio samples.

Combining Weighted Multi-resolution STFT Loss and Distance Fusion to Optimize Speech Enhancement Generative Adversarial Networks

Neural speaker recognition/verification system based on Kaldi and Tensorflow

Book Library of P&W Studio

A curated list of awesome Speaker Diarization papers, libraries, datasets, and other resources.

A Convolutional Neural Network based Voice Activity Detector for Smartphones

ConvNets for Audio Recognition using Google Commands Dataset

💎 A list of accessible speech corpora for ASR, TTS, and other Speech Technologies

Speech recognition toolkit for the arduino

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

PyTorch implementation of convolutional neural networks-based text-to-speech synthesis models

a simple speech recognition app using the Web Speech API Interfaces

Novoic's audio feature extraction library

ACLEW Diarization Virtual Machine

PyTorch implementation of "A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

🔉 spafe: Simplified Python Audio Features Extraction

A python wrapper for Speech Signal Processing Toolkit (SPTK).

In this work we propose two postprocessing approaches applying convolutional neural networks (CNNs) either in the time domain or the cepstral domain to enhance the coded speech without any modification of the codecs. The time domain approach follows an end-to-end fashion, while the cepstral domain approach uses analysis-synthesis with cepstral d…

Implement Wave-U-Net by PyTorch, and migrate it to the speech enhancement.

A wavelet audio denoiser done in python

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

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.

iOS application for finding formants in spoken sounds

HiFi-GAN: High Fidelity Denoising and Dereverberation Based on Speech Deep Features in Adversarial Networks

A minimum unofficial implementation of the "A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement" (CRN) using PyTorch

Tracking the progress in non-autoregressive generation (translation, transcription, etc.)

A light weight neural speaker embeddings extraction based on Kaldi and PyTorch.

A implementation of Power Normalized Cepstral Coefficients: PNCC

a neural network toolbox for animal vocalizations and bioacoustics