With Gemini for Home arriving, Google's home voice assistant options are better than ever. Here are my favorite commands.

MIT neuroscientists have figured out how the brain is able to focus on a single voice among a cacophony of many voices, shedding light on a longstanding neuroscientific phenomenon known as the ...

GL Communications Inc., a global leader in telecom test and measurement solutions, highlighted the capabilities of its ...

Frontier CoreML audio models in your apps — text-to-speech, speech-to-text, voice activity detection, and speaker diarization. In Swift, powered by SOTA open source.

You can't feed a 10-minute audio file to most AI/ML models at once. You need to cut it into small pieces of 3–10 seconds. Doing this manually is painful and error-prone.

In the world of Generative AI, latency is the ultimate killer of immersion. Until recently, building a voice-enabled AI agent felt like assembling a Rube Goldberg machine: you’d pipe audio to a Speech ...

Abstract: Target-speaker voice activity detection (TS-VAD) improves speaker diarization by modeling speaker activity using prior speaker embeddings. We present TS-VAD+, a modular and scalable ...

Abstract: A key element of speech processing systems, Voice Activity Detection (VAD) facilitates efficient speaker identification, efficient communication, and accurate speech recognition.