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Description

AudioLM is an innovative audio language model designed to create high-quality, coherent speech and piano music by solely learning from raw audio data, eliminating the need for text transcripts or symbolic forms. It organizes audio in a hierarchical manner through two distinct types of discrete tokens: semantic tokens, which are derived from a self-supervised model to capture both phonetic and melodic structures along with broader context, and acoustic tokens, which come from a neural codec to maintain speaker characteristics and intricate waveform details. This model employs a series of three Transformer stages, initiating with the prediction of semantic tokens to establish the overarching structure, followed by the generation of coarse tokens, and culminating in the production of fine acoustic tokens for detailed audio synthesis. Consequently, AudioLM can take just a few seconds of input audio to generate seamless continuations that effectively preserve voice identity and prosody in speech, as well as melody, harmony, and rhythm in music. Remarkably, evaluations by humans indicate that the synthetic continuations produced are almost indistinguishable from actual recordings, demonstrating the technology's impressive authenticity and reliability. This advancement in audio generation underscores the potential for future applications in entertainment and communication, where realistic sound reproduction is paramount.

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.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

No images available

Integrations

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

Integrations

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

Pricing Details

No price information available.
Free Trial No 
Free Version 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 

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

Customer Support

Business Hours Yes 
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 Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Google

Country

United States

Website

research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/

Vendor Details

Company Name

Decibri

Founded

2008

Country

Australia

Website

decibri.com

Product Features

Product Features

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Alternatives

No Alternatives
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