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Description
Inworld Realtime STT is a streaming API for speech-to-text that captures more than just spoken words. This innovative tool merges low-latency speech recognition with voice profiling capabilities, allowing it to analyze emotions, vocal style, accent, age, and pitch from raw audio inputs, which enhances the responsiveness and expressiveness of downstream LLMs and TTS systems. Developers have the flexibility to stream audio in real time, transcribe entire files, or gather voice profile signals via a single, comprehensive API. The system features real-time bidirectional streaming over WebSocket, synchronous transcription for complete audio files, and offers voice profile signals for each streaming segment, all while supporting multiple providers through one model ID. Each audio segment provides a dynamic profile of the speaker, complete with confidence scores, equipping LLMs with structured context that indicates the emotional state of the user, such as whether they sound sad, frustrated, soft-spoken, high-pitched, or calm. This capability allows for a more nuanced interaction, enriching the user experience by adapting responses to the speaker’s emotional tone and vocal characteristics.
Description
Sonic Visualiser is a free and open-source software application compatible with Windows, Linux, and Mac, serving as an essential tool for anyone interested in performing an in-depth analysis of music recordings. Its user-friendly interface caters to a variety of professionals, including musicologists, archivists, and researchers in signal processing, all seeking to explore the intricate details within audio files. As a versatile program, Sonic Visualiser offers extensive capabilities for the visualization, analysis, and annotation of audio recordings, making it one of the most adaptable tools available. It allows for quick comparisons of various audio files that share the same source material, such as different performances of a piece or alternative takes of an instrumental segment. Additionally, it provides high-quality transcription of pitch and notes, particularly beneficial for scientific research focusing on solo vocal recordings. For those needing to process audio data in bulk, Sonic Visualiser also features a non-interactive command-line tool for batch extraction of audio features, ensuring a comprehensive suite of functions for diverse audio analysis needs.
API Access
Has API
API Access
Has API
Integrations
No details available.
Integrations
No details available.
Pricing Details
Free
Free Trial
Free Version
Pricing Details
Free
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
Inworld
Founded
2021
Country
United States
Website
inworld.ai/speech-to-text
Vendor Details
Company Name
Sonic Visualiser
Country
United Kingdom
Website
www.sonicvisualiser.org