ALBERT

ALBERT

Google
AudioLM

AudioLM

Google
+
+

Related Products

  • Google AI Studio
    30 Ratings
    Visit Website
  • Gemini Enterprise Agent Platform
    999 Ratings
    Visit Website
  • LM-Kit.NET
    29 Ratings
    Visit Website
  • LTX
    182 Ratings
    Visit Website
  • Planview AdaptiveWork
    714 Ratings
    Visit Website
  • Adobe Firefly
    25,030 Ratings
    Visit Website
  • PackageX OCR Scanning
    48 Ratings
    Visit Website
  • Expedience Software
    34 Ratings
    Visit Website
  • Forethought
    166 Ratings
    Visit Website
  • SBS Asset Finance
    3 Ratings
    Visit Website

About

ALBERT is a self-supervised Transformer model that was pretrained on a large corpus of English data. This means it does not require manual labelling, and instead uses an automated process to generate inputs and labels from raw texts. It is trained with two distinct objectives in mind. The first is Masked Language Modeling (MLM), which randomly masks 15% of words in the input sentence and requires the model to predict them. This technique differs from RNNs and autoregressive models like GPT as it allows the model to learn bidirectional sentence representations. The second objective is Sentence Ordering Prediction (SOP), which entails predicting the ordering of two consecutive segments of text during pretraining.

About

AudioLM is a pure audio language model that generates high‑fidelity, long‑term coherent speech and piano music by learning from raw audio alone, without requiring any text transcripts or symbolic representations. It represents audio hierarchically using two types of discrete tokens, semantic tokens extracted from a self‑supervised model to capture phonetic or melodic structure and global context, and acoustic tokens from a neural codec to preserve speaker characteristics and fine waveform details, and chains three Transformer stages to predict first semantic tokens for high‑level structure, then coarse and finally fine acoustic tokens for detailed synthesis. The resulting pipeline allows AudioLM to condition on a few seconds of input audio and produce seamless continuations that retain voice identity, prosody, and recording conditions in speech or melody, harmony, and rhythm in music. Human evaluations show that synthetic continuations are nearly indistinguishable from real recordings.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

AI developers

Audience

Audio researchers and developers needing a solution for creating realistic speech and music continuations directly from raw audio

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

No information available.
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Google
Founded: 1998
United States
github.com/google-research/albert

Company Information

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

Alternatives

RoBERTa

RoBERTa

Meta

Alternatives

AudioCraft

AudioCraft

Meta AI
InstructGPT

InstructGPT

OpenAI
Seed-Music

Seed-Music

ByteDance
BERT

BERT

Google
Melodea

Melodea

Audoir
GPT-4

GPT-4

OpenAI
Qwen3-TTS

Qwen3-TTS

Alibaba

Categories

Categories

Integrations

Google Opal
Spark NLP

Integrations

Google Opal
Spark NLP
Claim ALBERT and update features and information
Claim ALBERT and update features and information
Claim AudioLM and update features and information
Claim AudioLM and update features and information