Large text-to-video models trained on internet-scale data have shown extraordinary capabilities to generate high-fidelity films from arbitrarily written descriptions. However, fine-tuning a pretrained huge model might be prohibitively expensive, making it difficult to adapt these models...
Researchers have proposed a novel approach to enforcing distributional constraints in machine learning models using multi-marginal optimal transport. This approach is designed to be computationally efficient and allows for efficient computation of gradients during backpropagation.
Existing methods...
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...
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'REAL-TIME NEURAL VOICE CAMOUFLAGE'. All Credit For This Research...
This Article is written as a summay by Marktechpost Staff based on the Research Paper 'RESCOREBERT: DISCRIMINATIVE SPEECH RECOGNITION RESCORING WITH BERT'. All Credit...
This summary article is based on Amazon research 'Scalable framework lets multiple text-to-speech models coexist'
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