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Description
Sonic 3.5 represents Cartesia's most advanced and fluid text-to-speech model, engineered for dynamic voice synthesis with an impressive latency of under 90 milliseconds and proficient in 42 languages. This model is adept at accurately adhering to transcripts, vocalizing confirmation codes, and interpreting heteronyms seamlessly without the need for any preprocessing, while also maintaining the expressiveness required for genuine conversations. It aims to provide speech of native quality across diverse languages, ensuring that audio clarity is prioritized in every voice output, thus eliminating the need for post-production corrections. Sonic 3.5 excels in delivering high-fidelity audio, making it an ideal choice for production environments where quality, speed, and reliability are essential. The model's engaging conversational style features effective pacing and a genuine emotional range, specifically calibrated for diverse support and agent transcripts. Moreover, it naturally articulates alphanumeric sequences—such as order numbers, phone numbers, IDs, and email addresses—in all supported languages, and its context-sensitive English pronunciation ensures that words like "read," "bass," and "bow" are pronounced correctly based on their textual context. This level of sophistication in voice generation not only enhances user experience but also establishes Sonic 3.5 as a leader in the field of text-to-speech technology.
Description
MAI-Transcribe-2-Streaming represents a cutting-edge solution in low-latency streaming transcription, specifically designed for real-time speech applications and capable of providing transcripts in 60 different languages with the added feature of automatic, continuous language detection. Instead of waiting for the completion of speech, this model generates initial partial transcripts in just over 100 milliseconds after audio input, allowing it to refine and enhance these transcripts as additional context becomes available, ultimately stabilizing the text quickly. This functionality enables voice applications to start analyzing information, utilizing tools, or showing live transcripts even while the speaker is still talking. According to Microsoft, this model has achieved the top ranking for both final and partial transcript accuracy on Artificial Analysis. To further enhance the user experience, MAI-Voice-2.1 offers a multilingual text-to-speech capability that spans 23 languages and 26 locales, enabling a single voice to seamlessly transition between languages while preserving the original speaker's identity and adopting local accents. This integration not only improves the usability of speech applications but also makes them more accessible to a diverse audience.
API Access
Has API
Yes
API Access
Has API
No
Integrations
No details available.
Integrations
No details available.
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
No price information available.
Free Trial
No
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)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
Cartesia
Founded
2023
Country
United States
Website
docs.cartesia.ai/build-with-cartesia/tts-models/latest
Vendor Details
Company Name
Microsoft AI
Founded
2024
Country
United States
Website
microsoft.ai/news/our-first-streaming-transcription-model/