Berlin Chen | DeepAI

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∙ 09/04/2023

AVATAR: Robust Voice Search Engine Leveraging Autoregressive Document Retrieval and Contrastive Learning

Voice, as input, has progressively become popular on mobiles and seems t...

0 Yi-Cheng Wang, et al. ∙

∙ 08/24/2023

Naaloss: Rethinking the objective of speech enhancement

Reducing noise interference is crucial for automatic speech recognition ...

0 Kuan-Hsun Ho, et al. ∙

∙ 05/29/2023

A Hierarchical Context-aware Modeling Approach for Multi-aspect and Multi-granular Pronunciation Assessment

Automatic Pronunciation Assessment (APA) plays a vital role in Computer-...

0 Fu-An Chao, et al. ∙

∙ 08/19/2022

3M: An Effective Multi-view, Multi-granularity, and Multi-aspect Modeling Approach to English Pronunciation Assessment

As an indispensable ingredient of computer-assisted pronunciation traini...

0 Fu-An Chao, et al. ∙

∙ 07/02/2022

Geometric Learning of Hidden Markov Models via a Method of Moments Algorithm

We present a novel algorithm for learning the parameters of hidden Marko...

0 Berlin Chen, et al. ∙

∙ 11/05/2021

Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling

Conversational speech normally is embodied with loose syntactic structur...

0 Bi-Cheng Yan, et al. ∙

∙ 11/01/2021

Exploring Non-Autoregressive End-To-End Neural Modeling For English Mispronunciation Detection And Diagnosis

End-to-end (E2E) neural modeling has emerged as one predominant school o...

0 Hsin-Wei Wang, et al. ∙

∙ 10/17/2021

Improving End-To-End Modeling for Mispronunciation Detection with Effective Augmentation Mechanisms

Recently, end-to-end (E2E) models, which allow to take spectral vector s...

0 Tien-Hong Lo, et al. ∙

∙ 08/26/2021

Towards Robust Mispronunciation Detection and Diagnosis for L2 English Learners with Accent-Modulating Methods

With the acceleration of globalization, more and more people are willing...

0 Shao-Wei Fan Jiang, et al. ∙

∙ 08/26/2021

Cross-domain Single-channel Speech Enhancement Model with Bi-projection Fusion Module for Noise-robust ASR

In recent decades, many studies have suggested that phase information is...

0 Fu-An Chao, et al. ∙

∙ 07/04/2021

TENET: A Time-reversal Enhancement Network for Noise-robust ASR

Due to the unprecedented breakthroughs brought about by deep learning, s...

0 Fu-An Chao, et al. ∙

∙ 06/13/2021

Cross-sentence Neural Language Models for Conversational Speech Recognition

An important research direction in automatic speech recognition (ASR) ha...

0 Shih-Hsuan Chiu, et al. ∙

∙ 04/11/2021

Innovative Bert-based Reranking Language Models for Speech Recognition

More recently, Bidirectional Encoder Representations from Transformers (...

0 Shih-Hsuan Chiu, et al. ∙

∙ 03/04/2021

End-to-End Mispronunciation Detection and Diagnosis From Raw Waveforms

Mispronunciation detection and diagnosis (MDD) is designed to identify p...

0 Bi-Cheng Yan, et al. ∙

∙ 11/04/2020

Query Expansion System for the VoxCeleb Speaker Recognition Challenge 2020

In this report, we describe our submission to the VoxCeleb Speaker Recog...

0 Yu-Sen Cheng, et al. ∙

∙ 10/27/2020

Effective FAQ Retrieval and Question Matching With Unsupervised Knowledge Injection

Frequently asked question (FAQ) retrieval, with the purpose of providing...

0 Wen-Ting Tseng, et al. ∙

∙ 06/01/2020

An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features

Tremendous amounts of multimedia associated with speech information are ...

0 Shi-Yan Weng, et al. ∙

∙ 05/25/2020

An End-to-End Mispronunciation Detection System for L2 English Speech Leveraging Novel Anti-Phone Modeling

Mispronunciation detection and diagnosis (MDD) is a core component of co...

0 Bi-Cheng Yan, et al. ∙

∙ 05/18/2020

An Effective End-to-End Modeling Approach for Mispronunciation Detection

Recently, end-to-end (E2E) automatic speech recognition (ASR) systems ha...

0 Tien-Hong Lo, et al. ∙

∙ 05/18/2020

The NTNU System at the Interspeech 2020 Non-Native Children's Speech ASR Challenge

This paper describes the NTNU ASR system participating in the Interspeec...

0 Tien-Hong Lo, et al. ∙

∙ 05/15/2019

What do you learn from context? Probing for sentence structure in contextualized word representations

Contextualized representation models such as ELMo (Peters et al., 2018a)...

0 Ian Tenney, et al. ∙

∙ 12/28/2018

Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling

Work on the problem of contextualized word representation -- the develop...

0 Samuel R. Bowman, et al. ∙

∙ 11/22/2016

Learning to Distill: The Essence Vector Modeling Framework

In the context of natural language processing, representation learning h...

0 Kuan-Yu Chen, et al. ∙

∙ 07/22/2016

Novel Word Embedding and Translation-based Language Modeling for Extractive Speech Summarization

Word embedding methods revolve around learning continuous distributed ve...

0 Kuan-Yu Chen, et al. ∙

∙ 01/20/2016

Improved Spoken Document Summarization with Coverage Modeling Techniques

Extractive summarization aims at selecting a set of indicative sentences...

0 Kuan-Yu Chen, et al. ∙

∙ 06/14/2015

Leveraging Word Embeddings for Spoken Document Summarization

Owing to the rapidly growing multimedia content available on the Interne...

0 Kuan-Yu Chen, et al. ∙

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