News-Medical.Net

AI model identifies where snoring starts in the airway

A new study developed a snore-source classification model that uses STFT spectrograms, pretrained CNN features, and an L2-regularized SVM to identify where snoring originates in the upper airway.
IEEE

Discrete Audio Representation as an Alternative to Mel-Spectrograms for Speaker and Speech Recognition

Abstract: Discrete audio representation, aka audio tokenization, has seen renewed interest driven by its potential to facilitate the application of text language modeling approaches in audio domain.
IEEE

Learning Temporal Relations from Semantic Neighbors for Acoustic Scene Classification

Abstract: Convolutional networks have achieved the state-of-the-art performance on Acoustic Scene Classification (ASC). Given the Log Mel-Spectrogram of an audio sample, the network can extract useful ...
GitHub

lightweight speech emotion recognition on open datasets

cisc-867 deep learning course project. speech emotion recognition (ser) on ravdess using a lightweight 1d cnn on log-mel-spectrograms, compared against a classical mfcc + svm baseline. optimized for ...
GitHub

Real-Time State-of-the-art Speech Synthesis for Tensorflow 2

🤪 TensorFlowTTS provides real-time state-of-the-art speech synthesis architectures such as Tacotron-2, Melgan, Multiband-Melgan, FastSpeech, FastSpeech2 based-on TensorFlow 2. With Tensorflow 2, we ...