New research from the University of Kansas uses network science to determine why people make mistakes when lip-reading.

Summary: Lip-reading is a highly demanding cognitive feat that forces the brain to decode speech by translating physical mouth movements instead of acoustic waveforms. While psychologists have long ...

Abstract: Body-conduction (BC) sensors enable speech capture in extremely noisy environments and when air microphones are impractical, but their intrinsic low-pass response and added low-frequency ...

A tensorflow implementation of speech recognition based on DeepMind's WaveNet: A Generative Model for Raw Audio. (Hereafter the Paper) Although ibab and tomlepaine have already implemented WaveNet ...

GAME is the upgraded successor of SOME, designed for transcribing singing voice into music scores. Transcribe unlabeled raw singing voice waveforms into music scores, in MIDI format. Align notes to ...

Ever wondered how your incredible brain effortlessly navigates the vast sea of information that bombards you every day? Picture this: You are scrolling through a whirlwind of Facebook posts and photos ...

How do voice-based technologies understand children’s speech, and how can we make them more accurate, equitable, and effective for learning? This project, housed within the Center for Early Literacy ...

Abstract: This paper investigates the use of multidistribution deep neural networks (DNNs) for mispronunciation detection and diagnosis (MDD), to circumvent the difficulties encountered in an existing ...

What is ESP32 Text to Speech and Why Use AI-Based Solutions? Text-to-speech may look simple, but it requires several important steps. Initially, the text is prepared for speech by converting numbers ...