It now appears that neural nets may be the next frontier in the advance of computing technology as a whole. But what are ...

Sir Andy Cooke, the Chief Inspector of Constabulary, said forces needed to be more open with the mainstream media and get better at countering fake news online. The murders of Bebe King ...

Another example is bad pronunciation of certain phonemes. In this paper, we present an automatic algorithm for accurate detection of breaths in speech or song signals. The algorithm is based on a ...

The Deepfake (DF) task, new to the 2021 edition, targets solutions to the detection of manipulated, compressed speech data posted online. While detection solutions offer some resilience to compression ...

Autopilot co-founder Chris Josephs discusses his app designed to follow the trades of politicians like Nancy Pelosi on 'Varney & Co.' Elon Musk said Saturday that he plans to focus on critical ...

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 ...

A machine learning project for detecting hate speech using a fine-tuned BERT model. Built with TensorFlow, Transformers, and Streamlit. Content Moderation: Automatically detect and remove hate speech ...

To address this, I’ve developed a machine learning project focused on fake news detection using Python. The goal of this project is to train a model that can accurately classify news headlines as ...