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06/13/2023
Efficient Adapters for Giant Speech Models
Large pre-trained speech models are widely used as the de-facto paradigm...
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06/01/2023
How to Estimate Model Transferability of Pre-Trained Speech Models?
In this work, we introduce a “score-based assessment” framework for esti...
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03/02/2023
Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages
We introduce the Universal Speech Model (USM), a single large model that...
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02/08/2023
Noise2Music: Text-conditioned Music Generation with Diffusion Models
We introduce Noise2Music, where a series of diffusion models is trained ...
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01/19/2023
From English to More Languages: Parameter-Efficient Model Reprogramming for Cross-Lingual Speech Recognition
In this work, we propose a new parameter-efficient learning framework ba...
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11/02/2022
A Quantum Kernel Learning Approach to Acoustic Modeling for Spoken Command Recognition
We propose a quantum kernel learning (QKL) framework to address the inhe...
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10/28/2022
Residual Adapters for Few-Shot Text-to-Speech Speaker Adaptation
Adapting a neural text-to-speech (TTS) model to a target speaker typical...
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10/18/2022
Maestro-U: Leveraging joint speech-text representation learning for zero supervised speech ASR
Training state-of-the-art Automated Speech Recognition (ASR) models typi...
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03/31/2022
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping
Neural vocoder using denoising diffusion probabilistic model (DDPM) has ...
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10/11/2021
A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation
Non-autoregressive (NAR) models simultaneously generate multiple outputs...
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06/17/2021
WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis
This paper introduces WaveGrad 2, a non-autoregressive generative model ...
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11/02/2020
Focus on the present: a regularization method for the ASR source-target attention layer
This paper introduces a novel method to diagnose the source-target atten...
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09/02/2020
WaveGrad: Estimating Gradients for Waveform Generation
This paper introduces WaveGrad, a conditional model for waveform generat...
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07/26/2020
End-to-end spoofing detection with raw waveform CLDNNs
Albeit recent progress in speaker verification generates powerful models...
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05/18/2020
Mask CTC: Non-Autoregressive End-to-End ASR with CTC and Mask Predict
We present Mask CTC, a novel non-autoregressive end-to-end automatic spe...
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05/18/2020
Robust Training of Vector Quantized Bottleneck Models
In this paper we demonstrate methods for reliable and efficient training...
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02/12/2020
x-vectors meet emotions: A study on dependencies between emotion and speaker recognition
In this work, we explore the dependencies between speaker recognition an...
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01/29/2020
Improving Language Identification for Multilingual Speakers
Spoken language identification (LID) technologies have improved in recen...
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11/10/2019
Non-Autoregressive Transformer Automatic Speech Recognition
Recently very deep transformers start showing outperformed performance t...
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10/25/2019
Feature Enhancement with Deep Feature Losses for Speaker Verification
Speaker Verification still suffers from the challenge of generalization ...
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09/13/2019
A Comparative Study on Transformer vs RNN in Speech Applications
Sequence-to-sequence models have been widely used in end-to-end speech p...
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04/01/2019
ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks
We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-...
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03/30/2018
