Stanford and UC Santa Cruz launch a benchmark for audio-language models; Gemini 2.5 Pro leads, ASR-plus-LLM pipelines stay ...

Suppose you want to train a text summarizer or an image classifier. Without using Gradio, you would need to build the front end, write back-end code, find a hosting platform, and connect all parts, ...

AlterEgo unveiled a silent-speech wearable that decodes subvocal signals into commands, delivering a non-invasive AI ...

Business and Technology University (BTU) in Tbilisi, Georgia, has developed an AI system that reads the human mind by ...

Our ECoG to Speech decoding framework is initially described in A Neural Speech Decoding Framework Leveraging Deep Learning and Speech Synthesis. We present a novel deep learning-based neural speech ...

Motivated by the success of T5 (Text-To-Text Transfer Transformer) in pre-trained natural language processing models, we propose a unified-modal SpeechT5 framework that explores the encoder-decoder ...

This paper proposes a full-blind recognition method that aims to recognize coding parameters from a noisy bitstream of limited BCH and RS codes intercepted in a non-cooperative communication system ...

End-to-End (E2E) automatic speech recognition (ASR) becomes popular recent years and has been widely used in many applications. However, current ASR algorithms are usually less effective when applied ...

As previewed earlier this year, Gemini in Google Docs will now let you “create audio versions of your documents.” ...