The arrival of automatic speech recognition (ASR) technologies has changed the way people interact with digital devices. Despite their capabilities, ...
in a <a target="_blank" href="https://x.com/Pledditor/status/1866446222375936230" target="_blank" rel="noopener nofollow">fundamental Speaking on Tuesday at the bitcoin Mena conference in Abu Dhabi, Eric ...
Senators <a target="_blank" data-i13n="elm:context_link;elmt:doNotAffiliate;cpos:1;pos:1" class="link " href="https://x.com/SenBlumenthal/status/1865411937183428834" rel="nofollow noopener" target="_blank" data-ylk="slk:Richard Blumenthal;elm:context_link;elmt:doNotAffiliate;cpos:1;pos:1;itc:0;sec:content-canvas"> and <a target="_blank" data-i13n="elm:context_link;elmt:doNotAffiliate;cpos:2;pos:1" class="link " href="https://x.com/MarshaBlackburn/status/1865399988894957638" rel="nofollow ...
Clear communication can be surprisingly difficult in today's audio environments. Background noise, overlapping conversations, and mixing of audio and video ...
Spoken term detection (STD) is a critical area in speech processing, allowing the identification of specific phrases or terms in ...
This paper was accepted into the Ninth Conference on Machine Translation (WMT24) at EMNLP 2024. The prosody of a spoken ...
Speech recognition technology has made significant advances, and advances in ai improve accessibility and accuracy. However, it still faces challenges, ...
As generative ai models advance in creating multimedia content, the difference between good and great output often lies in the ...
A critical challenge in Subjective Speech Quality Assessment (SSQA) is allowing models to generalize across diverse and unseen speech domains. ...
Neural contextual bias allows speech recognition models to leverage contextually relevant information, improving transcription accuracy. However, the bias mechanism is ...
