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About

Muse Voice Transcribe is Meta’s first real-time audio perception model, delivering streaming automatic speech recognition (ASR), diarization, and endpointing in real time. An autoregressive multimodal model from the Muse Spark family, it processes audio in 80 ms chunks and decides dynamically whether to continue listening or emit text. Its adaptive delay changes the amount of audio context used for each word based on difficulty, balancing transcription accuracy with latency. The model is trained on more than 70 languages, with 25 extensively verified at launch, and natively supports arbitrary code-switching both within and between sentences. Language, keyword, and context biasing can further improve recognition accuracy for specific names, places, contacts, or terminology. Streaming diarization identifies speaker changes and distinguishes more than 20 speakers, while endpointing detects when speech begins and when a user finishes speaking.

About

Whisper is an automatic speech recognition (ASR) system developed by OpenAI for converting spoken language into text. It is trained on 680,000 hours of multilingual and multitask audio data collected from the web. The model is designed to handle diverse accents, background noise, and technical language with high accuracy. Whisper supports transcription in multiple languages as well as translation into English. It uses an encoder-decoder Transformer architecture to process audio inputs and generate text outputs. The system can also perform tasks like language identification and timestamp generation. Overall, Whisper enables developers to build robust voice-enabled applications with ease.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers and AI researchers seeking to build real-time voice applications that transcribe multilingual speech, distinguish speakers, and detect conversational turns

Audience

Developers, researchers, content creators, and businesses looking to build speech-to-text, voice interfaces, translation tools, or accessibility solutions using robust multilingual audio processing

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Meta
Founded: 2004
United States
research.meta.ai/blog/introducing-muse-voice-transcribe

Company Information

OpenAI
Founded: 2015
United States
openai.com/index/whisper/

Alternatives

MAI-Transcribe-1.5

MAI-Transcribe-1.5

Microsoft AI

Alternatives

MAI-Transcribe-2

MAI-Transcribe-2

Microsoft AI
Transcribe

Transcribe

Wreally
Azure AI Speech

Azure AI Speech

Microsoft

Categories

Categories

Integrations

Azure AI Speech
Bolna
FluidVoice
Handy
Kuku
LazyTyper
MacWhisper
Nekton.ai
Pruna AI
ReByte
SheepScript.ai
Shownotes
Simplismart
Thinkbuddy
Tila
TurboScribe
Undrstnd
Unremot
VESSL AI
Waveloom

Integrations

Azure AI Speech
Bolna
FluidVoice
Handy
Kuku
LazyTyper
MacWhisper
Nekton.ai
Pruna AI
ReByte
SheepScript.ai
Shownotes
Simplismart
Thinkbuddy
Tila
TurboScribe
Undrstnd
Unremot
VESSL AI
Waveloom
Claim Muse Voice Transcribe and update features and information
Claim Muse Voice Transcribe and update features and information
Claim OpenAI Whisper and update features and information
Claim OpenAI Whisper and update features and information