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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

Screenshots View All

Screenshots View All

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

Product Features

Product Features

Alternatives

Alternatives

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Beey

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