AI audio-separation company AudioShake raises USD 14m to power AI transcription, dubbing, captioning, and voice-AI model ...

ElevenLabs has launched Scribe v2 Realtime, a cutting-edge Speech-to-Text model that delivers human-quality transcription in ...

On November 8, 2025, a significant breakthrough in neuroimaging was announced by researchers. They claimed to have decoded and transcribed human thoughts using functional MRI (fMRI) scans by training ...

Omnilingual Automatic Speech Recognition can transcribe speech in over 1,600 languages — including 500 low-resource languages ...

The system also allows people to upload their own voice snippets, which Meta says is a more scalable way to bridge the ...

ABSTRACT: In the field of digital communications, a filter is a device that selectively attenuates any unwanted component of a received signal and essentially changes the signal waveform in the ...

Abstract: Automatic Speech Recognition (ASR) is becoming increasingly ubiquitous, especially in the mobile segment. Fast and accurate ASR comes at a high energy cost which is not affordable for the ...

Red Hat’s hybrid cloud-native AI platform streamlines AI workflows and offers powerful new inference capabilities, building the foundation for agentic AI at scale and empowering IT teams and AI ...

PutergenAI is a lightweight, robust Python SDK for interacting with the Puter.js API, an open-source cloud operating system focused on privacy and AI capabilities. This SDK provides a clean interface ...

WASHINGTON, Oct 22 (Reuters) - Democratic U.S. Senator Jeff Merkley of Oregon concluded a marathon speech opposing Republican President Donald Trump's agenda on Wednesday, the 22nd day of a government ...

STATEN ISLAND, N.Y. -- After the release of alleged comments made in a text thread among some of the nation’s top young GOP leaders, including at least three Staten Islanders, the Richmond County ...

Abstract: Emotional text-to-speech (TTS) has advanced significantly, but challenges persist due to the complexity of emotions and limitations in emotional speech datasets and models. A key issue with ...