Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow
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Updated
Jan 19, 2018 - Python
Speech command recognition DenseNet transfer learning from UrbanSound8k in keras tensorflow
Kaggle Competitions: TensorFlow Speech Recognition Challenge
Generalized Deep Multiset Canonical Correlation Analysis for Multiview Learning of Speech Representations
Multi-class classification of speech command data. Dataset collected from kaggle speech recognition challenge and used pyTorch for implementation.
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.
Speech recognition of keyword commands
Pytorch Reimplementation of DiffWave unconditional generation: a high quality waveform synthesizer.
A Model-based Agent, for chinese speech recognize.
This project is about spotting a keyword from the Google Speech Commands Dataset.
Attention-based model for keywords spotting
Audio Classification with AlexNet and Speech Commands dataset
Wav2Keyword is keyword spotting(KWS) based on Wav2Vec 2.0. This model shows state-of-the-art in Speech commands dataset V1 and V2.
Pytorch implementation of BiFSMN, IJCAI 2022
Effective processing pipeline and advanced neural network architectures for small-footprint keyword spotting
Code for the Interspeech 2021 paper "AST: Audio Spectrogram Transformer".
zero-shot keyword spotting with KWS test dataset using ImageBind
Female Replacement Intelligent Digital Assistant Youth
Classify audio with neural nets on embedded systems like the Raspberry Pi
Small footprint, standalone, zero dependency, offline keyword spotting (KWS) CLI tool.
A library built for easier audio self-supervised training, downstream tasks evaluation
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