News

Gunman fired 180 rounds at CDC HQ, shattering 150 windows and damaging four buildings. Shooting suspect identified by GBI as Patrick Joseph White, 30; Officer David Rose killed in attack. Guns found ...
You can interact with your Windows device using just your voice, without the need for a keyboard or mouse. After years of integrating voice control into Microsoft software updates, we've finally ...
Will your laptop recognize you in the dark? Maybe. Maybe not. An April patch update for Windows now “requires color cameras” to see a visible face when signing in, according to Microsoft via Windows ...
Abstract: This paper proposes a novel collaborative dysarthric speech recognition system designed to convert dysarthric speech into non-dysarthric speech to enhance the robustness of automatic speech ...
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 ...
ABSTRACT: Anomaly detection in complex crowd scenes is a challenging task due to the inherent variability in crowd behaviors, interactions, and scales. This paper proposes a novel hybrid model that ...
This is a VoiceRecognitionAPI port for Content Warning made with written permission from the original developer. The original VoiceRecognitionAPI is created by LoafOrc, you may get the original API ...
The advent of automatic speech recognition (ASR) technologies has changed the way individuals interact with digital devices. Despite their capabilities, these systems often demand significant ...
Microsoft has just released the December 2024 Patch Tuesday updates for all supported versions of Windows 11 and Windows 10. This month, various changes will roll out to Windows 11 users including a ...
This repository contains the code for building a speech recognition model using Long Short-Term Memory (LSTM) networks. The model is trained using MFCC features extracted from audio files and is ...
Summary: A new study shows that automatic speech recognition (ASR) systems trained on speech from people with Parkinson’s disease are 30% more accurate in transcribing similar speech patterns.