Why The Speech AI Industry Is Hitting A Wall And What Comes Next

The global speech and voice recognition market is projected to grow from $20 billion in 2023 to over $53 billion by 2030.
IEEE

M 4 SER: Multimodal, Multirepresentation, Multitask, and Multistrategy Learning for Speech Emotion Recognition

Abstract: Multimodal speech emotion recognition (SER) has emerged as pivotal for improving human–machine interaction. Researchers are increasingly leveraging both speech and textual information ...
GitHub

Bestmomo/Laravel-Edge-TTS

A simple yet powerful Laravel package for integrating Microsoft Edge Text-to-Speech (TTS) into your applications. It features audio streaming, caching, abstraction, and security controls. This package ...
IEEE

Neonatal Pain Speech Emotion Recognition Based on Multiscale Multilevel MAE Network

Abstract: Perception of neonatal pain is a critical indicator for early-life health assessment. However, in real-world clinical scenarios, it faces challenges such as poor objectivity and limited ...
GitHub

An OpenAI API compatible text to speech server.

For a minimal docker image with only piper support (<1GB vs. 8GB), use docker compose -f docker-compose.min.yml up usage: speech.py [-h] [--xtts_device XTTS_DEVICE ...