Nanxin Chen | DeepAI

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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...

0 Nanxin Chen, et al. ∙

∙ 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...

0 Zih-Ching Chen, et al. ∙

∙ 03/02/2023

Google USM: Scaling Automatic Speech Recognition Beyond 100 Languages

We introduce the Universal Speech Model (USM), a single large model that...

0 Yu Zhang, et al. ∙

∙ 02/08/2023

Noise2Music: Text-conditioned Music Generation with Diffusion Models

We introduce Noise2Music, where a series of diffusion models is trained ...

0 Qingqing Huang, et al. ∙

∙ 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...

0 Chao-Han Huck Yang, et al. ∙

∙ 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...

0 Chao-Han Huck Yang, et al. ∙

∙ 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...

0 Nobuyuki Morioka, et al. ∙

∙ 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...

0 Zhehuai Chen, et al. ∙

∙ 03/31/2022

SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping

Neural vocoder using denoising diffusion probabilistic model (DDPM) has ...

0 Yuma Koizumi, et al. ∙

∙ 10/11/2021

A Comparative Study on Non-Autoregressive Modelings for Speech-to-Text Generation

Non-autoregressive (NAR) models simultaneously generate multiple outputs...

0 Yosuke Higuchi, et al. ∙

∙ 06/17/2021

WaveGrad 2: Iterative Refinement for Text-to-Speech Synthesis

This paper introduces WaveGrad 2, a non-autoregressive generative model ...

0 Nanxin Chen, et al. ∙

∙ 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...

0 Nanxin Chen, et al. ∙

∙ 09/02/2020

WaveGrad: Estimating Gradients for Waveform Generation

This paper introduces WaveGrad, a conditional model for waveform generat...

5 Nanxin Chen, et al. ∙

∙ 07/26/2020

End-to-end spoofing detection with raw waveform CLDNNs

Albeit recent progress in speaker verification generates powerful models...

0 Heinrich Dinkel, et al. ∙

∙ 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...

0 Yosuke Higuchi, et al. ∙

∙ 05/18/2020

Robust Training of Vector Quantized Bottleneck Models

In this paper we demonstrate methods for reliable and efficient training...

3 Adrian Łańcucki, et al. ∙

∙ 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...

0 Raghavendra Pappagari, et al. ∙

∙ 01/29/2020

Improving Language Identification for Multilingual Speakers

Spoken language identification (LID) technologies have improved in recen...

6 Andrew Titus, et al. ∙

∙ 11/10/2019

Non-Autoregressive Transformer Automatic Speech Recognition

Recently very deep transformers start showing outperformed performance t...

0 Nanxin Chen, et al. ∙

∙ 10/25/2019

Feature Enhancement with Deep Feature Losses for Speaker Verification

Speaker Verification still suffers from the challenge of generalization ...

0 Saurabh Kataria, et al. ∙

∙ 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...

0 Shigeki Karita, et al. ∙

∙ 04/01/2019

ASSERT: Anti-Spoofing with Squeeze-Excitation and Residual neTworks

We present JHU's system submission to the ASVspoof 2019 Challenge: Anti-...

0 Cheng-I Lai, et al. ∙

∙ 03/30/2018

ESPnet: End-to-End Speech Processing Toolkit

This paper introduces a new open source platform for end-to-end speech p...

0 Shinji Watanabe, et al. ∙

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