Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
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
No
API Access
Has API
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
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
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
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
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
Country
United States
Website
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/
Vendor Details
Company Name
Hume AI
Founded
2021
Country
United States
Website
www.hume.ai/products/decision-model-api