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Average Ratings 0 Ratings
Description
Higgs Audio / Avatar represents a versatile suite of foundational audio and avatar technologies that create realistic speech, comprehend tone, emotion, and intent, and provide a visual element to voice interactions. These models encompass capabilities such as text-to-speech, speech-to-text, avatar creation, and smart voice casting, which intelligently chooses a suitable voice based on context, sentiment, and content. Designed for practical use in production environments, Higgs merges expressive generation with strong speech comprehension and adaptable deployment suited for situations where quality, latency, and dependability are crucial. With high-precision multilingual speech recognition across primary languages, the technology also features voice cloning that captures a speaker’s unique tone from brief samples, ensuring brand voice consistency in various interactions. Additionally, sentiment analysis interprets emotional cues in speech, facilitating improved routing, enhanced analytics, and more context-aware agent responses, ultimately leading to a more engaging user experience. This comprehensive approach not only elevates communication but also empowers businesses to connect more effectively with their audiences.
Description
Muse Voice Transcribe represents Meta’s inaugural venture into real-time audio perception, providing instantaneous automatic speech recognition (ASR), speaker diarization, and endpointing capabilities. This autoregressive multimodal model, part of the Muse Spark series, analyzes audio segments of 80 milliseconds and makes real-time decisions on whether to keep listening or to convert the spoken words into text. The adaptive delay mechanism allows it to adjust the audio context utilized for each word according to the complexity of the speech, thus optimizing the balance between transcription precision and response time. With training encompassing over 70 languages, 25 of which were rigorously validated at the time of its release, the model also seamlessly accommodates arbitrary code-switching, allowing transitions within and across sentences. Furthermore, language, keyword, and contextual biasing features enhance the recognition capabilities for specific names, locations, contacts, or specialized terms. The streaming diarization functionality enables the model to recognize shifts in speakers and can differentiate between more than 20 individual voices. Additionally, the endpointing feature is adept at identifying the commencement of speech and knowing when a user has completed their statement, ensuring a fluid interaction experience. Overall, Muse Voice Transcribe stands out as a cutting-edge tool in the realm of speech recognition technology, merging advanced features with user-friendly application.
API Access
Has API
Yes
API Access
Has API
Yes
Integrations
Boson AI
Yes
Deep Infra
Yes
EigenCloud
Yes
Microsoft Foundry
Yes
Integrations
Boson AI
No
Deep Infra
No
EigenCloud
No
Microsoft Foundry
No
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
Yes
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Vendor Details
Company Name
Boson AI
Founded
2023
Country
United States
Website
www.boson.ai/higgs-audio
Vendor Details
Company Name
Meta
Founded
2004
Country
United States
Website
research.meta.ai/blog/introducing-muse-voice-transcribe