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08/21/2023
TokenSplit: Using Discrete Speech Representations for Direct, Refined, and Transcript-Conditioned Speech Separation and Recognition
We present TokenSplit, a speech separation model that acts on discrete t...
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06/22/2023
AudioPaLM: A Large Language Model That Can Speak and Listen
We introduce AudioPaLM, a large language model for speech understanding ...
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05/16/2023
SoundStorm: Efficient Parallel Audio Generation
We present SoundStorm, a model for efficient, non-autoregressive audio g...
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03/23/2023
LMCodec: A Low Bitrate Speech Codec With Causal Transformer Models
We introduce LMCodec, a causal neural speech codec that provides high qu...
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02/07/2023
Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision
We introduce SPEAR-TTS, a multi-speaker text-to-speech (TTS) system that...
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01/26/2023
MusicLM: Generating Music From Text
We introduce MusicLM, a model generating high-fidelity music from text d...
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09/07/2022
AudioLM: a Language Modeling Approach to Audio Generation
We introduce AudioLM, a framework for high-quality audio generation with...
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03/29/2022
Disentangling speech from surroundings in a neural audio codec
We present a method to separate speech signals from noisy environments i...
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02/15/2022
SpeechPainter: Text-conditioned Speech Inpainting
We propose SpeechPainter, a model for filling in gaps of up to one secon...
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09/26/2021
Data Summarization via Bilevel Optimization
The increasing availability of massive data sets poses a series of chall...
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10/19/2020
MicAugment: One-shot Microphone Style Transfer
A crucial aspect for the successful deployment of audio-based models "in...
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10/19/2020
Semi-supervised Batch Active Learning via Bilevel Optimization
Active learning is an effective technique for reducing the labeling cost...
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06/06/2020
Coresets via Bilevel Optimization for Continual Learning and Streaming
Coresets are small data summaries that are sufficient for model training...
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06/19/2019
Transfer NAS: Knowledge Transfer between Search Spaces with Transformer Agents
Recent advances in Neural Architecture Search (NAS) have produced state-...
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03/29/2019
Online Variance Reduction with Mixtures
Adaptive importance sampling for stochastic optimization is a promising ...
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11/22/2018
Inference of the three-dimensional chromatin structure and its temporal behavior
Understanding the three-dimensional (3D) structure of the genome is esse...
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02/13/2018