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Average Ratings 0 Ratings

Total 0 out of 5 stars
ease 0 out of 5 stars
features 0 out of 5 stars
design 0 out of 5 stars
support 0 out of 5 stars

No User Reviews. Be the first to provide a review:

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Description

Decibri is an audio library written in Rust, aimed at developers focused on creating applications for real-time speech, voice agents, and audio processing. It includes functionalities for microphone input, speaker output, PCM streaming, and handling audio files, along with a command-line interface that supports Python, Node.js, Rust, and browser APIs. Among its many features are voice activity detection, acoustic echo cancellation, and optional enhancements such as denoising, filtering, automatic gain control, and limiting. Developers have the capability to stream audio they capture to either cloud or local speech-to-text services, while also playing back synthesized speech through its audio output systems. The library can be utilized in various scenarios, including the development of voice assistants, transcription services, conversational agents, wake-word detection, interactive robotics applications, full-duplex speech systems, audio processing pipelines, and for use in edge devices. It offers prebuilt native packages compatible with Windows, macOS, and Linux, and the Python and Node.js implementations do not require any additional build tools for setup. Additionally, the browser version allows for audio capture, energy-based speech detection, and playback, expanding its accessibility and usability across different platforms. This versatility makes Decibri a powerful tool in the realm of audio application development.

Description

The Hume Audio Decisions API serves as a cloud-based solution tailored for developers focused on creating voice applications and teams analyzing sound and speech. This API processes audio recordings along with optional contextual information and user-generated inquiries, delivering structured probabilities for potential answers. The range of questions spans observable audio characteristics, such as the count of speakers and the presence of background noise, in addition to subjective assessments regarding tone, empathy, clarity, naturalness, and frustration levels. With these insights, teams can effectively evaluate support calls, assess the performance of voice agents and text-to-speech systems, label speech datasets, contrast different recordings, and pinpoint instances for escalation or further model training. This API seamlessly integrates as a decision-making layer with existing speech recognition and voice generation systems, enabling developers to incorporate its analytical scores and probabilities into their unique workflows. Access to the API is granted through Hume, and the pricing structure is determined by the number of audio clips, questions, and contextual tokens submitted. Additionally, the API's versatility allows for a wide range of applications in various industries, enhancing the overall user experience and operational efficiency.

API Access

Has API Yes 

API Access

Has API Yes 

Screenshots View All

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Screenshots View All

Integrations

Amazon Transcribe Yes 
AssemblyAI Yes 
Azure AI Speech Yes 
Deepgram Yes 
Google Cloud Speech-to-Text Yes 
Hume AI No 
OpenAI Realtime API Yes 
Voxtral Yes 

Integrations

Amazon Transcribe No 
AssemblyAI No 
Azure AI Speech No 
Deepgram No 
Google Cloud Speech-to-Text No 
Hume AI Yes 
OpenAI Realtime API No 
Voxtral No 

Pricing Details

$0
The core audio library is free under Apache-2.0. Fees for cloud speech-service providers are separate.
Free Trial No 
Free Version Yes 

Pricing Details

$0.47/1M tokens
Usage costs $0.47 per 1 million input tokens, with no commitment. An organization receives a 1-million-input-token trial credit after access is granted. Enterprise plans offer volume pricing and deployment in a VPC, on premises, or in country.
Free Trial No 
Free Version No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
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

Decibri

Founded

2008

Country

Australia

Website

decibri.com

Vendor Details

Company Name

Hume AI

Founded

2021

Country

United States

Website

www.hume.ai/products/decision-model-api

Product Features

Product Features

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