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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...
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08/24/2023
Naaloss: Rethinking the objective of speech enhancement
Reducing noise interference is crucial for automatic speech recognition ...
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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-...
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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...
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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...
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11/05/2021
Conversational speech recognition leveraging effective fusion methods for cross-utterance language modeling
Conversational speech normally is embodied with loose syntactic structur...
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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...
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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...
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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...
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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...
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07/04/2021
TENET: A Time-reversal Enhancement Network for Noise-robust ASR
Due to the unprecedented breakthroughs brought about by deep learning, s...
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06/13/2021
Cross-sentence Neural Language Models for Conversational Speech Recognition
An important research direction in automatic speech recognition (ASR) ha...
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04/11/2021
Innovative Bert-based Reranking Language Models for Speech Recognition
More recently, Bidirectional Encoder Representations from Transformers (...
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03/04/2021
End-to-End Mispronunciation Detection and Diagnosis From Raw Waveforms
Mispronunciation detection and diagnosis (MDD) is designed to identify p...
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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...
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10/27/2020
Effective FAQ Retrieval and Question Matching With Unsupervised Knowledge Injection
Frequently asked question (FAQ) retrieval, with the purpose of providing...
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06/01/2020
An Effective Contextual Language Modeling Framework for Speech Summarization with Augmented Features
Tremendous amounts of multimedia associated with speech information are ...
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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...
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05/18/2020
An Effective End-to-End Modeling Approach for Mispronunciation Detection
Recently, end-to-end (E2E) automatic speech recognition (ASR) systems ha...
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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...
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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)...
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12/28/2018
Looking for ELMo's friends: Sentence-Level Pretraining Beyond Language Modeling
Work on the problem of contextualized word representation -- the develop...
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11/22/2016
Learning to Distill: The Essence Vector Modeling Framework
In the context of natural language processing, representation learning h...
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07/22/2016
Novel Word Embedding and Translation-based Language Modeling for Extractive Speech Summarization
Word embedding methods revolve around learning continuous distributed ve...
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01/20/2016
Improved Spoken Document Summarization with Coverage Modeling Techniques
Extractive summarization aims at selecting a set of indicative sentences...
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06/14/2015