IEEE

Ultra-Low-Bitrate Mel-Spectrogram-based Neural Speech Coding with Flow-Matching-based ...

Abstract: Ultra-low-bitrate speech coding is pivotal for bandwidth-constrained communication and deep compression, yet maintaining naturalness and speaker identity at such extreme bit budgets remains ...
Microsoft

LLM can Read Spectrogram: Encoder-free Speech-Language Modeling

Recent speech-aware large language models (Speech-LLMs) rely on a pre-trained speech encoder to convert audio into semantic-rich representations consumable by LLM. In this work, instead, we explore: ...
IEEE

Speech Emotion Recognition From 3D Log-Mel Spectrograms With Deep Learning Network

Abstract: Speech emotion recognition is a vital and challenging task that the feature extraction plays a significant role in the SER performance. With the development of deep learning, we put our eyes ...
GitHub

lipiyourbuddy/cough-classifier-deeplearning-multiclass-model

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
GitHub

WhaleNet (Wavelet Highly Adaptive Learning Ensemble Network)

Customer stories Events & webinars Ebooks & reports Business insights GitHub Skills ...
Frontiers

A Deep Learning Approach for Acoustic-based Identification of Muscle Tension Dysphonia and ...

Voice audio was processed into Log-Mel spectrograms. Pre-trained convolutional neural networks (CNNs), including VGG16, ResNet50, and DenseNet161, were employed for transfer learning to perform both ...