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It has been said that information theory and machine learning are "two sides of the same coin" because of their close relationship. One exquisite relationship is the fundamental similarity between probabilistic...
Researchers have introduced a cutting-edge framework called MUTEX, short for "MUltimodal Task specification for robot EXecution," aimed at significantly advancing the capabilities of robots in assisting humans. The primary problem they tackle is the limitation of...
Meta-AI Researchers have recently achieved a significant breakthrough in generative AI for speech. They have developed Voicebox, an innovative AI model that showcases the...
Using computational linguistics, speech recognition software such as "speech to text" can decipher human speech and convert it into text. Speech-to-text has rapidly expanded...
Weakly supervised and unsupervised training approaches have shown outstanding performance on various audio processing tasks, including voice recognition, speaker recognition, speech separation, and keyword...
Although over half of the world's 7,000+ live languages are predominantly oral and lack a standardized writing system, recent technological advancements in AI translation...
Audio signals, whether human speech, musical composition, or ambient noise, entail different levels of abstraction. Prosody, syntax, grammar, and semantics are a few ways...
Voice-to-text processing has advanced significantly in recent years, making the occasional failures in AI-powered speech recognition systems little more than curious outliers. However, most...
Automatic speech recognition (ASR) has surpassed all other forms of modern human-machine interaction thanks to the proliferation of high-tech Internet of Things (IoT) gadgets....
This Article is written as a summay by Marktechpost Staff based on the research article 'Advancing direct speech-to-speech modeling with discrete units'. All Credit...
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