Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".

A library built for easier audio self-supervised training, downstream tasks evaluation

Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.

Classify audio with neural nets on embedded systems like the Raspberry Pi

Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.

Kaggle Competitions: TensorFlow Speech Recognition Challenge

Pytorch implementation of BiFSMN, IJCAI 2022

Attention-based model for keywords spotting

Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow

Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations

Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting

A Python-based application designed specifically for visually impaired users, enabling them to seamlessly send and receive emails using intuitive speech commands. This innovative solution enhances accessibility and independence by allowing users to manage their email communication effortlessly, utilizing voice recognition technology to ensure a us.

Small footprint, standalone, zero dependency, offline keyword spotting (KWS) CLI tool.

Audio Classification with AlexNet and Speech Commands dataset

A Vocola 2 (DNS) extension for creating and editing mathematics (in LaTeX) by voice, using a ZOO interface (Zoomable Online Outliner) such as WorkFlowy or Dynalist.

Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.

A Model-based Agent, for chinese speech recognize.

This project is about spotting a keyword from the Google Speech Commands Dataset.

zero-shot keyword spotting with KWS test dataset using ImageBind

Speech recognition of keyword commands