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03/09/2022
DUAL: Discrete Spoken Unit Adaptive Learning for Textless Spoken Question Answering
Spoken Question Answering (SQA) is to find the answer from a spoken docu...
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04/04/2021
Towards Lifelong Learning of End-to-end ASR
Automatic speech recognition (ASR) technologies today are primarily opti...
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10/27/2020
FragmentVC: Any-to-Any Voice Conversion by End-to-End Extracting and Fusing Fine-Grained Voice Fragments With Attention
Any-to-any voice conversion aims to convert the voice from and to any sp...
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05/18/2020
Defending Your Voice: Adversarial Attack on Voice Conversion
Substantial improvements have been achieved in recent years in voice con...
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05/05/2020
End-to-end Whispered Speech Recognition with Frequency-weighted Approaches and Layer-wise Transfer Learning
Whispering is an important mode of human speech, but no end-to-end recog...
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10/28/2019
Sequence-to-sequence Automatic Speech Recognition with Word Embedding Regularization and Fused Decoding
In this paper, we investigate the benefit that off-the-shelf word embedd...
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10/28/2019
Towards Unsupervised Speech Recognition and Synthesis with Quantized Speech Representation Learning
In this paper we propose a Sequential Representation Quantization AutoEn...
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10/28/2019
Interrupted and cascaded permutation invariant training for speech separation
Permutation Invariant Training (PIT) has long been a stepping stone meth...
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04/16/2019
Improved Speech Separation with Time-and-Frequency Cross-domain Joint Embedding and Clustering
Speech separation has been very successful with deep learning techniques...
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04/10/2019
From Semi-supervised to Almost-unsupervised Speech Recognition with Very-low Resource by Jointly Learning Phonetic Structures from Audio and Text Embeddings
Producing a large amount of annotated speech data for training ASR syste...
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04/08/2019
Completely Unsupervised Phoneme Recognition By A Generative Adversarial Network Harmonized With Iteratively Refined Hidden Markov Models
Producing a large annotated speech corpus for training ASR systems remai...
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11/07/2018
Improved Audio Embeddings by Adjacency-Based Clustering with Applications in Spoken Term Detection
Embedding audio signal segments into vectors with fixed dimensionality i...
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11/02/2018
Adversarial Training of End-to-end Speech Recognition Using a Criticizing Language Model
In this paper we proposed a novel Adversarial Training (AT) approach for...
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10/30/2018
Almost-unsupervised Speech Recognition with Close-to-zero Resource Based on Phonetic Structures Learned from Very Small Unpaired Speech and Text Data
Producing a large amount of annotated speech data for training ASR syste...
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08/09/2018
Rhythm-Flexible Voice Conversion without Parallel Data Using Cycle-GAN over Phoneme Posteriorgram Sequences
Speaking rate refers to the average number of phonemes within some unit ...
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08/07/2018
Segmental Audio Word2Vec: Representing Utterances as Sequences of Vectors with Applications in Spoken Term Detection
While Word2Vec represents words (in text) as vectors carrying semantic i...
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07/21/2018
Phonetic-and-Semantic Embedding of Spoken Words with Applications in Spoken Content Retrieval
Word embedding or Word2Vec has been successful in offering semantics for...
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04/15/2018
Transcribing Lyrics From Commercial Song Audio: The First Step Towards Singing Content Processing
Spoken content processing (such as retrieval and browsing) is maturing, ...
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04/09/2018
Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations
Recently, cycle-consistent adversarial network (Cycle-GAN) has been succ...
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04/07/2018
Scalable Sentiment for Sequence-to-sequence Chatbot Response with Performance Analysis
Conventional seq2seq chatbot models only try to find the sentences with ...
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04/01/2018
Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings
Unsupervised discovery of acoustic tokens from audio corpora without ann...
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11/28/2017
Unsupervised Discovery of Structured Acoustic Tokens with Applications to Spoken Term Detection
In this paper, we compare two paradigms for unsupervised discovery of st...
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10/29/2017
Personalized word representations Carrying Personalized Semantics Learned from Social Network Posts
Distributed word representations have been shown to be very useful in va...
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09/16/2017
Order-Preserving Abstractive Summarization for Spoken Content Based on Connectionist Temporal Classification
Connectionist temporal classification (CTC) is a powerful approach for s...
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07/17/2017
Unsupervised Iterative Deep Learning of Speech Features and Acoustic Tokens with Applications to Spoken Term Detection
In this paper we aim to automatically discover high quality frame-level ...
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12/26/2016
Abstractive Headline Generation for Spoken Content by Attentive Recurrent Neural Networks with ASR Error Modeling
Headline generation for spoken content is important since spoken content...
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08/28/2016
Hierarchical Attention Model for Improved Machine Comprehension of Spoken Content
Multimedia or spoken content presents more attractive information than p...
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08/23/2016
Towards Machine Comprehension of Spoken Content: Initial TOEFL Listening Comprehension Test by Machine
Multimedia or spoken content presents more attractive information than p...
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02/01/2016
An Iterative Deep Learning Framework for Unsupervised Discovery of Speech Features and Linguistic Units with Applications on Spoken Term Detection
In this work we aim to discover high quality speech features and linguis...
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11/08/2015
Towards Structured Deep Neural Network for Automatic Speech Recognition
In this paper we propose the Structured Deep Neural Network (structured ...
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09/07/2015
Enhancing Automatically Discovered Multi-level Acoustic Patterns Considering Context Consistency With Applications in Spoken Term Detection
This paper presents a novel approach for enhancing the multiple sets of ...
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09/07/2015
Unsupervised Spoken Term Detection with Spoken Queries by Multi-level Acoustic Patterns with Varying Model Granularity
This paper presents a new approach for unsupervised Spoken Term Detectio...
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09/07/2015
Unsupervised Discovery of Linguistic Structure Including Two-level Acoustic Patterns Using Three Cascaded Stages of Iterative Optimization
Techniques for unsupervised discovery of acoustic patterns are getting i...
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06/07/2015
