Google Speech-to-Text
A commercial speech recognition API service provided by Google and one of the mainstream commercial speech-to-text solutions.
Core Facts
Timeline (last 90 days)
Representative ASR models include OpenAI Whisper and Google Speech-to-Text.
Google Speech-to-Text can enable speaker diarization by setting the enableSpeakerDiarization parameter and specifying the expected number of speakers.
Voice data contains the speaker's voiceprint characteristics, which constitute biometric information; most mainstream ASR solutions rely on cloud-based APIs (such as Google Speech-to-Text and AssemblyAI), causing audio or text to be processed by third-party servers.
The core task of traditional ASR systems such as Google Speech-to-Text or Apple Dictation is acoustic modeling that maps audio signals to sequences of words.
Taking a 2TB audio library (approximately 35,000 hours) as an example, using cloud-based ASR services at roughly $1–2 per hour, the total cost could reach tens of thousands of dollars.
The underlying technology of most AI meeting assistant tools is based on ASR (Automatic Speech Recognition) engines, such as OpenAI's Whisper and Google's Speech-to-Text.
Apple introduced an enhanced Speech framework in macOS 14, along with optimized Core ML conversions for the Whisper model.
Google Speech-to-Text's standard model is billed by audio duration, at approximately $0.016 to $0.024 per minute.
Google的Speech-to-Text、微软Azure Speech Services、Deepgram等服务商提供低延迟的实时转录能力
ASR models such as OpenAI Whisper and Google Speech-to-Text have compressed word error rates to below 5%.
All Facts (9)
ASR models such as OpenAI Whisper and Google Speech-to-Text have compressed word error rates to below 5%.
80%UnverifiedApple introduced an enhanced Speech framework in macOS 14, along with optimized Core ML conversions for the Whisper model.
60%UnverifiedRepresentative ASR models include OpenAI Whisper and Google Speech-to-Text.
50%UnverifiedGoogle Speech-to-Text can enable speaker diarization by setting the enableSpeakerDiarization parameter and specifying the expected number of speakers.
50%UnverifiedVoice data contains the speaker's voiceprint characteristics, which constitute biometric information; most mainstream ASR solutions rely on cloud-based APIs (such as Google Speech-to-Text and AssemblyAI), causing audio or text to be processed by third-party servers.
50%UnverifiedThe core task of traditional ASR systems such as Google Speech-to-Text or Apple Dictation is acoustic modeling that maps audio signals to sequences of words.
50%UnverifiedTaking a 2TB audio library (approximately 35,000 hours) as an example, using cloud-based ASR services at roughly $1–2 per hour, the total cost could reach tens of thousands of dollars.
50%UnverifiedThe underlying technology of most AI meeting assistant tools is based on ASR (Automatic Speech Recognition) engines, such as OpenAI's Whisper and Google's Speech-to-Text.
50%UnverifiedGoogle的Speech-to-Text、微软Azure Speech Services、Deepgram等服务商提供低延迟的实时转录能力
50%