GitHub

DePasqualeOrg/mlx-audio-plus

The best audio processing library built on Apple's MLX framework, providing fast and efficient text-to-speech (TTS), speech-to-text (STT), and speech-to-speech (STS) on Apple Silicon. Kokoro Fast, ...
IEEE

A Knowledge Distillation-Based Approach to Speech Emotion Recognition

Abstract: Due to rapid advancements in deep learning, Transformer-based architectures have proven effective in speech emotion recognition (SER), largely due to their ability to model long-term ...
IEEE

Universal Robust Speech Adaptation for Cross-Domain Speech Recognition and Enhancement

Abstract: Pre-trained models for automatic speech recognition (ASR) and speech enhancement (SE) have exhibited remarkable capabilities under matched noise and channel conditions. However, these models ...
GitHub

Fine-Grained Emotion Recognition via In-Context Learning

This repository contains the code for the paper "For more detailed results and analysis, please refer to: Fine-Grained Emotion Recognition via In-Context Learning" published at CIKM 2025. Extract ...
VentureBeat

Mistral drops Voxtral Transcribe 2, an open-source speech model that runs on-device for pennies

Mistral AI, the Paris-based startup positioning itself as Europe's answer to OpenAI, released a pair of speech-to-text models on Wednesday that the company says can transcribe audio faster, more ...
Microsoft

Paza: Introducing automatic speech recognition benchmarks and models for low resource languages

According to the 2025 Microsoft AI Diffusion Report approximately one in six people globally had used a generative AI product. Yet for billions of people, the promise of voice interaction still falls ...