Courts increasingly rely on speech-to-text recordings to enhance access, efficiency, and transparency. Yet as spoken words are converted into written text, small variations--such as the spelling of ...

Slator is the leader in market intelligence for language solutions and language AI. Slator's Advisory practice is a trusted partner to clients looking for M&A services and independent analysis. Slator ...

I compared Sarvam with ChatGPT and Gemini across three key areas (text-to-speech, speech-to-text, and translation) to see if ...

In late 2025, Google released MedASR, an open-weight, medical-focused speech-to-text model, as part of its Health AI Developer Foundations program. Unlike general-purpose automatic speech recognition ...

According to Huang Song (@huang_song_), Typeless for Android has launched in private beta as the world's first truly smart voice keyboard for Android devices. Typeless leverages advanced AI to ...

Abstract: Many studies have proposed zero-shot (ZS) speaker adaptation methods for Text-To-Speech (TTS) and Voice Conversion (VC) to synthesize speech for an unseen speaker from a reference speech ...

Busy clinics and virtual visits don’t exactly make it easy to take notes manually. That’s the tech gap Shunyalabs.ai set out to target with ZeroMed: the AI-driven speech recognition system designed ...

Imagine dictating an entire report, brainstorming ideas, or drafting an email, all without lifting a finger or worrying about your data being sent to the cloud. For Mac users, this isn’t just a dream; ...

If you’ve ever spent a night replaying the same recording, pausing every few seconds to type what you hear, you know how painfully slow transcription can be. Whether it’s a podcast, lecture, or ...

In the traditional cascade modeling approach, automatic speech recognition (ASR) first produces a single text string, which is then passed to retrieval. Small transcription errors can change query ...