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Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
In this project is presented a simple method to train an MLP neural network for audio signals. The trained model can be exported on a Raspberry Pi (2 or superior suggested) to classify audio signal registered with USB microphone
The official implementation of the paper "A spatio-temporal deep learning approach for underwater acoustic signals classification". In this repository, we present two new deep learning architectures based on spatio-temporal modeling for underwater signal classification.
Real-time version of sound_classification_demo in OpenVINO toolkit. Captures audio from microphone, do classification, and display result on the screen with illustration.
Replicating published research on sound classification using two-streamed CNN. a personal repository for the University of Bristol Applied Deep Learning unit (COMSM0018) project.
TensorFlow implementation of Microsoft's RespireNet, aiming to classify breathing/coughing sounds of people affected by COVID19 using the Coswara dataset.