A text-to-speech (TTS), speech-to-text (STT) and speech-to-speech (STS) library built on Apple's MLX framework, providing efficient speech analysis on Apple Silicon. Speech Emotion Recognition using .

Abstract: Recently, the hybrid deep neural network (DNN)-hidden Markov model (HMM) has been shown to significantly improve speech recognition performance over the conventional Gaussian mixture model ...

especially speech recognition. However, in the past few years, research has focused on utilizing deep learning for speech-related applications. This new area of machine learning has yielded far better ...

PYTHON (jupter) This project focuses on speech emotion recognition using machine learning . Initially, the dataset is preprocessed by extracting audio features such as MFCCs while applying data ...

This performance represents a significant leap forward for enterprise-grade speech applications, including real-time transcription, voice-based analytics, call center intelligence, and audio content ...

Find the right voice for each training module. You can audition over 50 AI voices in different speaking styles, genders, and accents in real time. Get creative! Mix and match voices for scenario-based ...