Sound is a powerful source of information. By training algorithms to identify distinct sound signatures, sound can reveal ...

In mid October 2024, our "World Watch" security intelligence capability published an advisory that summarized the use of AI ...

Machine learning market is booming, driven by AI advancements, big data, and automation needs across sectors like healthcare, finance, and retail. Machine learning is no longer a futuristic concept, ...

Revolutionizing human-machine interaction, voice assistants have transformed modern technology, reshaping how users engage ...

Artificial intelligence (AI) and machine learning (ML) have the potential to detect throat cancer from patient speech, facilitating earlier diagnosis and reducing the burden on overstretched ...

A Telegram bot for validating audio and video content using CV models, SR models, and VLMs, with deepfake detection leveraging metadata analysis.

The company sees speech recognition not only as a business tool, but as an essential interface for the future of human-computer interaction. “Our vision is that every machine interface will soon ...

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech) ...

It leverages algorithms and artificial intelligence (AI), particularly natural language processing (NLP) and machine learning, to accurately recognize speech patterns, understand spoken commands, and ...

Abstract: Speech Emotion Recognition has gained considerable attention in speech processing and machine learning due to its potential applications in human-computer interaction, mental health ...