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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
CereProc is thrilled to unveil CereWave AI, our cutting-edge neural text-to-speech system that utilizes state-of-the-art machine learning techniques. Available now through the CereVoice Cloud, CereWave AI delivers speech that surpasses the naturalness of existing text-to-speech solutions, offering unprecedented human-like emphasis and intonation. This innovative model synthesizes audio waveforms from the ground up, leveraging a deep neural network that has undergone extensive training on vast quantities of speech data. Throughout the training process, the network learns to capture the fundamental characteristics of various voices, enabling it to generate highly realistic speech waveforms. Not only does CereWave AI create a voice that closely mimics human speech, but it also allows comprehensive editing and customization, making it possible to adjust the speech to any language, gender, accent, or age. Remarkably, while traditional text-to-speech systems often require around 30 hours of recorded material, CereWave AI can produce a high-quality voice with only 4 hours of data, revolutionizing the field of speech synthesis. This advancement signifies a major leap forward in accessibility and versatility for developers and users alike.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
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
Country
United States
Website
research.google/blog/audiolm-a-language-modeling-approach-to-audio-generation/
Vendor Details
Company Name
CereProc
Country
United Kingdom
Website
www.cereproc.com/en/v6
Product Features
Product Features
Text to Speech
API
Adjust Speaking Rate / Pitch
Audio Optimization
Custom Lexicons
Different Voice Choices
Multi-Language Support
Synchronize Speech