Interspeech 2018

791 papers

A Unified Framework for the Generation of Glottal Signals in Deep Learning-based Parametric Speech Synthesis Systems

Min-Jae Hwang, Eunwoo Song, Jin-Seob Kim, Hong-Goo Kang

Transfer Learning Based Progressive Neural Networks for Acoustic Modeling in Statistical Parametric Speech Synthesis

Ruibo Fu, Jianhua Tao, Yibin Zheng, Zhengqi Wen

Incremental TTS for Japanese Language

Tomoya Yanagita, Sakriani Sakti, Satoshi Nakamura

Waveform-Based Speaker Representations for Speech Synthesis

Moquan Wan, Gilles Degottex, Mark J.F. Gales

Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition

Khe Chai Sim, Arun Narayanan, Ananya Misra, Anshuman Tripathi, Golan Pundak

Machine Speech Chain with One-shot Speaker Adaptation

Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

Correlational Networks for Speaker Normalization in Automatic Speech Recognition

Rini A Sharon, Sandeep Reddy Kothinti, Umesh Srinivasan

Comparison of BLSTM-Layer-Specific Affine Transformations for Speaker Adaptation

Markus Kitza, Ralf Schlüter, Hermann Ney

Speaker Adaptation and Adaptive Training for Jointly Optimised Tandem Systems

Yu Wang, Chao Zhang, Mark Gales, Philip Woodland

Learning to Adapt: A Meta-learning Approach for Speaker Adaptation

Ondrej Klejch, Joachim Fainberg, Peter Bell

Universal Tendencies for Cross-Linguistic Prosodic Tendencies: A Review and Some New Proposals

Jacqueline Vaissière

Subband Weighting for Binaural Speech Source Localization

Karthik Girija Ramesan, Parth Suresh, Prasanta Kumar Ghosh

Expectation-Maximization Algorithms for Itakura-Saito Nonnegative Matrix Factorization

Paul Magron, Tuomas Virtanen

Multi-talker Speech Separation Based on Permutation Invariant Training and Beamforming

Lu Yin, Ziteng Wang, Risheng Xia, Junfeng Li, Yonghong Yan

Speech Source Separation Using ICA in Constant Q Transform Domain

D.V.L.N Dheeraj Sai, K. S. Kishor, K Sri Rama Murty

Sparsity-Constrained Weight Mapping for Head-Related Transfer Functions Individualization from Anthropometric Features

Xiaoke Qi, Jianhua Tao

Speaker Activity Detection and Minimum Variance Beamforming for Source Separation

Enea Ceolini, Jithendar Anumula, Adrian Huber, Ilya Kiselev, Shih-Chii Liu

Harmonic-Percussive Source Separation of Polyphonic Music by Suppressing Impulsive Noise Events

Gurunath Reddy M, K. Sreenivasa Rao, Partha Pratim Das

Multiple Concurrent Sound Source Tracking Based on Observation-Guided Adaptive Particle Filter

Hong Liu, Haipeng Lan, Bing Yang, Cheng Pang

Joint Noise and Reverberation Adaptive Learning for Robust Speaker DOA Estimation with an Acoustic Vector Sensor

Disong Wang, Yuexian Zou

Extending Recurrent Neural Aligner for Streaming End-to-End Speech Recognition in Mandarin

Linhao Dong, Shiyu Zhou, Wei Chen, Bo Xu

Speech2Vec: A Sequence-to-Sequence Framework for Learning Word Embeddings from Speech

Yu-An Chung, James Glass

Compressing End-to-end ASR Networks by Tensor-Train Decomposition

Takuma Mori, Andros Tjandra, Sakriani Sakti, Satoshi Nakamura

Multi-Head Decoder for End-to-End Speech Recognition

Tomoki Hayashi, Shinji Watanabe, Tomoki Toda, Kazuya Takeda

Densely Connected Networks for Conversational Speech Recognition

Kyu Han, Akshay Chandrashekaran, Jungsuk Kim, Ian Lane

Syllable-Based Sequence-to-Sequence Speech Recognition with the Transformer in Mandarin Chinese

Shiyu Zhou, Linhao Dong, Shuang Xu, Bo Xu

A Multistage Training Framework for Acoustic-to-Word Model

Chengzhu Yu, Chunlei Zhang, Chao Weng, Jia Cui, Dong Yu

End-to-End Speech Recognition from the Raw Waveform

Neil Zeghidour, Nicolas Usunier, Gabriel Synnaeve, Ronan Collobert, Emmanuel Dupoux

End-to-End Speech Command Recognition with Capsule Network

Jaesung Bae, Dae-Shik Kim

Acoustic Modeling with DFSMN-CTC and Joint CTC-CE Learning

Shiliang Zhang, Ming Lei

Segmental Encoder-Decoder Models for Large Vocabulary Automatic Speech Recognition

Eugen Beck, Mirko Hannemann, Patrick Dötsch, Ralf Schlüter, Hermann Ney

Improving Attention Based Sequence-to-Sequence Models for End-to-End English Conversational Speech Recognition

Chao Weng, Jia Cui, Guangsen Wang, Jun Wang, Chengzhu Yu

Analysis of Variational Mode Functions for Robust Detection of Vowels

Surbhi Sakshi, Avinash Kumar, Gayadhar Pradhan

Linear Prediction Residual based Short-term Cepstral Features for Replay Attacks Detection

Madhusudan Singh, Debadatta Pati

Speaker Recognition with Nonlinear Distortion: Clipping Analysis and Impact

Wei Xia, John H.L. Hansen

An Optimization Framework for Recovery of Speech from Phase-Encoded Spectrograms

Abhilash Sainathan, Sunil Rudresh, Chandra Sekhar Seelamantula

Multicomponent 2-D AM-FM Modeling of Speech Spectrograms

Jitendra Kumar Dhiman, Neeraj Sharma, Chandra Sekhar Seelamantula

Analysis of sparse representation based feature on speech mode classification

Kumud Tripathi, K. Sreenivasa Rao

Novel Linear Frequency Residual Cepstral Features for Replay Attack Detection

Hemlata Tak, Hemant Patil

Novel Empirical Mode Decomposition Cepstral Features for Replay Spoof Detection

Prasad Tapkir, Hemant Patil

Singing Voice Phoneme Segmentation by Hierarchically Inferring Syllable and Phoneme Onset Positions

Rong Gong, Xavier Serra

Effectiveness of Dynamic Features in INCA and Temporal Context-INCA

Nirmesh Shah, Hemant Patil

Auditory Filterbank Learning Using ConvRBM for Infant Cry Classification

Hardik B. Sailor, Hemant Patil

Time-regularized Linear Prediction for Noise-robust Extraction of the Spectral Envelope of Speech

Manu Airaksinen, Lauri Juvela, Okko Rasanen, Paavo Alku

On the Usefulness of the Speech Phase Spectrum for Pitch Extraction

Erfan Loweimi, Jon Barker, Thomas Hain

Modulation Dynamic Features for the Detection of Replay Attacks

Gajan Suthokumar, Vidhyasaharan Sethu, Chamith Wijenayake, Eliathamby Ambikairajah

Decision-level Feature Switching as a Paradigm for Replay Attack Detection

Saranya M S, Hema Murthy

End-To-End Audio Replay Attack Detection Using Deep Convolutional Networks with Attention

Francis Tom, Mohit Jain, Prasenjit Dey

A Deep Identity Representation for Noise Robust Spoofing Detection

Alejandro Gómez Alanís, Antonio M. Peinado, Jose A. Gonzalez, Angel Gomez

Deep Siamese Architecture Based Replay Detection for Secure Voice Biometric

Kaavya Sriskandaraja, Vidhyasaharan Sethu, Eliathamby Ambikairajah

Auditory Filterbank Learning for Temporal Modulation Features in Replay Spoof Speech Detection

Hardik Sailor, Madhu Kamble, Hemant Patil

Frequency Domain Linear Prediction Features for Replay Spoofing Attack Detection

Buddhi Wickramasinghe, Saad Irtza, Eliathamby Ambikairajah, Julien Epps

Multiple Phase Information Combination for Replay Attacks Detection

Dongbo Li, Longbiao Wang, Jianwu Dang, Meng Liu, Zeyan Oo

Feature with Complementarity of Statistics and Principal Information for Spoofing Detection

Jichen Yang, Changhuai You, Qianhua He

Novel Variable Length Energy Separation Algorithm Using Instantaneous Amplitude Features for Replay Detection

Madhu Kamble, Hemant Patil

Effectiveness of Speech Demodulation-Based Features for Replay Detection

Madhu Kamble, Hemlata Tak, Hemant Patil

Detection of Replay-Spoofing Attacks Using Frequency Modulation Features

Tharshini Gunendradasan, Buddhi Wickramasinghe, Ngoc Phu Le, Eliathamby Ambikairajah, Julien Epps

Exploration of Compressed ILPR Features for Replay Attack Detection

Sarfaraz Jelil, Sishir Kalita, S R Mahadeva Prasanna, Rohit Sinha

Spoofing Detection Using Adaptive Weighting Framework and Clustering Analysis

Yuanjun Zhao, Roberto Togneri, Victor Sreeram

A First Investigation of the Timing of Turn-taking in Ruuli

Tuarik Buanzur, Margaret Zellers, Saudah Namyalo, Alena Witzlack-Makarevich

Engagement Recognition in Spoken Dialogue via Neural Network by Aggregating Different Annotators' Models

Koji Inoue, Divesh Lala, Katsuya Takanashi, Tatsuya Kawahara

Multimodal Polynomial Fusion for Detecting Driver Distraction

Yulun Du, Alan W Black, Louis-Philippe Morency, Maxine Eskenazi

Intent Discovery Through Unsupervised Semantic Text Clustering

A Padmasundari, Srinivas Bangalore

Capsule Networks for Low Resource Spoken Language Understanding

Vincent Renkens, Hugo Van hamme

Contextual Slot Carryover for Disparate Schemas

Chetan Naik, Arpit Gupta, Hancheng Ge, Mathias Lambert, Ruhi Sarikaya

Classification of Correction Turns in Multilingual Dialogue Corpus

Ivan Kraljevski, Diane Hirschfeld

Investigating Speech Features for Continuous Turn-Taking Prediction Using LSTMs

Matthew Roddy, Gabriel Skantze, Naomi Harte

A Discriminative Acoustic-Prosodic Approach for Measuring Local Entrainment

Megan Willi, Stephanie A. Borrie, Tyson S. Barrett, Ming Tu, Visar Berisha

Comparison of an End-to-end Trainable Dialogue System with a Modular Statistical Dialogue System

Norbert Braunschweiler, Alexandros Papangelis

Statistical Model Compression for Small-Footprint Natural Language Understanding

Grant P. Strimel, Kanthashree Mysore Sathyendra, Stanislav Peshterliev

Cross-Lingual Multi-Task Neural Architecture for Spoken Language Understanding

Yujiang Li, Xuemin Zhao, Weiqun Xu, Yonghong Yan

Analyzing Vocal Tract Movements During Speech Accommodation

Sankar Mukherjee, Thierry Legou, Leonardo Lancia, Pauline Hilt, Alice Tomassini

Joint Learning of Domain Classification and Out-of-Domain Detection with Dynamic Class Weighting for Satisficing False Acceptance Rates

Joo-Kyung Kim, Young-Bum Kim

Mandarin-English Code-switching Speech Recognition

Haihua Xu, Van Tung Pham, Zin Tun Kyaw, Zhi Hao Lim, Eng Siong Chng

Mobile Application for Learning Languages for the Unlettered

Gayathri G, Mohana N, Radhika Pal, Hema Murthy

The IBM Virtual Voice Creator

Alexander Sorin, Slava Shechtman, Zvi Kons, Ron Hoory, Shay Ben-David

Game-based Spoken Dialog Language Learning Applications for Young Students

Keelan Evanini, Veronika Timpe-Laughlin, Eugene Tsuprun, Ian Blood, Jeremy Lee

Intonation tutor by SPIRE (In-SPIRE): An Online Tool for an Automatic Feedback to the Second Language Learners in Learning Intonation

Anand P A, Chiranjeevi Yarra, Kausthubha N K, Prasanta Kumar Ghosh

Vocalic, Lexical and Prosodic Cues for the INTERSPEECH 2018 Self-Assessed Affect Challenge

Claude Montacié, Marie-José Caraty

Self-Assessed Affect Recognition Using Fusion of Attentional BLSTM and Static Acoustic Features

Bo-Hao Su, Sung-Lin Yeh, Ming-Ya Ko, Huan-Yu Chen, Shun-Chang Zhong

General Utterance-Level Feature Extraction for Classifying Crying Sounds, Atypical & Self-Assessed Affect and Heart Beats

Gábor Gosztolya, Tamás Grósz, László Tóth

Implementing Fusion Techniques for the Classification of Paralinguistic Information

Bogdan Vlasenko, Jilt Sebastian, D. S. Pavan Kumar, Mathew Magimai.-Doss

LSTM Based Cross-corpus and Cross-task Acoustic Emotion Recognition

Heysem Kaya, Dmitrii Fedotov, Ali Yeşilkanat, Oxana Verkholyak, Yang Zhang

Investigating Utterance Level Representations for Detecting Intent from Acoustics

SaiKrishna Rallabandi, Bhavya Karki, Carla Viegas, Eric Nyberg, Alan W Black

Computational Paralinguistics: Automatic Assessment of Emotions, Mood and Behavioural State from Acoustics of Speech

Zafi Sherhan Syed, Julien Schroeter, Kirill Sidorov, David Marshall

Attention-based Sequence Classification for Affect Detection

Cristina Gorrostieta, Richard Brutti, Kye Taylor, Avi Shapiro, Joseph Moran

Multi-target Voice Conversion without Parallel Data by Adversarially Learning Disentangled Audio Representations

Ju-Chieh Chou, Cheng-chieh Yeh, Hung-yi Lee, Lin-shan Lee

Voice Conversion Across Arbitrary Speakers Based on a Single Target-Speaker Utterance

Songxiang Liu, Jinghua Zhong, Lifa Sun, Xixin Wu, Xunying Liu

Whispered Speech to Neutral Speech Conversion Using Bidirectional LSTMs

G. Nisha Meenakshi, Prasanta Kumar Ghosh

Exemplar-Based Spectral Detail Compensation for Voice Conversion

Yu-Huai Peng, Hsin-Te Hwang, Yichiao Wu, Yu Tsao, Hsin-Min Wang

Learning Structured Dictionaries for Exemplar-based Voice Conversion

Shaojin Ding, Christopher Liberatore, Ricardo Gutierrez-Osuna

Improving Sparse Representations in Exemplar-Based Voice Conversion with a Phoneme-Selective Objective Function

Shaojin Ding, Guanlong Zhao, Christopher Liberatore, Ricardo Gutierrez-Osuna

Data Augmentation Using Healthy Speech for Dysarthric Speech Recognition

Bhavik Vachhani, Chitralekha Bhat, Sunil Kumar Kopparapu

Whistle-blowing ASRs: Evaluating the Need for More Inclusive Speech Recognition Systems

Meredith Moore, Hemanth Venkateswara, Sethuraman Panchanathan

The Use of Machine Learning and Phonetic Endophenotypes to Discover Genetic Variants Associated with Speech Sound Disorder

Jason Lilley, Erin Crowgey, H Timothy Bunnell

A Multitask Learning Approach to Assess the Dysarthria Severity in Patients with Parkinson's Disease

Juan Camilo Vásquez Correa, Tomas Arias, Juan Rafael Orozco-Arroyave, Elmar Nöth

Dysarthric Speech Recognition Using Time-delay Neural Network Based Denoising Autoencoder

Chitralekha Bhat, Biswajit Das, Bhavik Vachhani, Sunil Kumar Kopparapu

A Deep Learning Method for Pathological Voice Detection Using Convolutional Deep Belief Networks

Huiyi Wu, John Soraghan, Anja Lowit, Gaetano Di-Caterina

Analysis and Detection of Phonation Modes in Singing Voice using Excitation Source Features and Single Frequency Filtering Cepstral Coefficients (SFFCC)

Sudarsana Reddy Kadiri, Bayya Yegnanarayana

Automatic Assessment of Individual Culture Attribute of Power Distance Using a Social Context-Enhanced Prosodic Network Representation

Fu-Sheng Tsai, Hao-Chun Yang, Wei-Wen Chang, Chi-Chun Lee