What happens when you move AI from the cloud to your PC? In this episode of DEMO, host Keith Shaw visits Qualcomm HQ in San Diego to explore the power of AI at the edge. Jeff Monday, VP of Global ...

What if the race to perfect AI speech recognition wasn’t just about accuracy but also speed and usability? In a world where audio-to-text transcription powers everything from virtual meetings to ...

This speech-to-speech AI doesn’t need to emulate Santa Claus, of course; you can prime the AI with any instructions you’d like. If you want to delight children, though, its hard to beat the ...

One of the main challenges in building code-mixed ASR systems is the lack of annotated speech data. Often, however, monolingual speech corpora are available in abundance for the languages in the ...

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 .

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 ...

Abstract: Accents, characterized by deviations from standard pronunciation, often lead to a sharp decline in the performance of speech recognition systems. This issue becomes even more serious when ...

However, police and other government officials are allowed to place certain narrow restrictions on the exercise of speech rights. Make sure you’re prepared by brushing up on your rights before heading ...

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 ...