Interspeech 2018

791 papers

Influences of Fundamental Oscillation on Speaker Identification in Vocalic Utterances by Humans and Computers

Volker Dellwo, Thayabaran Kathiresan, Elisa Pellegrino, Lei He, Sandra Schwab

Experience-dependent Influence of Music and Language on Lexical Pitch Learning Is Not Additive

Akshay Raj Maggu, Patrick C. M. Wong, Hanjun Liu, Francis C. K. Wong

COSMO SylPhon: A Bayesian Perceptuo-motor Model to Assess Phonological Learning

Marie-Lou Barnaud, Juien Diard, Pierre Bessière, Jean-Luc Schwartz

Visual Timing Information in Audiovisual Speech Perception: Evidence from Lexical Tone Contour

Hui Xie, Biao Zeng, Rui Wang

Effects of Homophone Density on Spoken Word Recognition in Mandarin Chinese

Bhamini Sharma

Implementing DIANA to Model Isolated Auditory Word Recognition in English

Filip Nenadić, Louis ten Bosch, Benjamin V. Tucker

Weighting Pitch Contour and Loudness Contour in Mandarin Tone Perception in Cochlear Implant Listeners

Qinglin Meng, Nengheng Zheng, Ambika Prasad Mishra, Jacinta Dan Luo, Jan W. H. Schnupp

Interactions between Vowels and Nasal Codas in Mandarin Speakers’ Perception of Nasal Finals

Chong Cao, Wei Wei, Wei Wang, Yanlu Xie, Jinsong Zhang

A Multi-Discriminator CycleGAN for Unsupervised Non-Parallel Speech Domain Adaptation

Ehsan Hosseini-Asl, Yingbo Zhou, Caiming Xiong, Richard Socher

Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs

Mengjie Qian, Linxue Bai, Peter Jančovič, Martin Russell

Completely Unsupervised Phoneme Recognition by Adversarially Learning Mapping Relationships from Audio Embeddings

Da-Rong Liu, Kuan-Yu Chen, Hung-yi Lee, Lin-shan Lee

Semi-Orthogonal Low-Rank Matrix Factorization for Deep Neural Networks

Daniel Povey, Gaofeng Cheng, Yiming Wang, Ke Li, Hainan Xu

Leveraging Second-Order Log-Linear Model for Improved Deep Learning Based ASR Performance

Ankit Raj, Shakti P Rath, Jithendra Vepa

Dictionary Augmented Sequence-to-Sequence Neural Network for Grapheme to Phoneme Prediction

Antoine Bruguier, Anton Bakhtin, Dravyansh Sharma

Hierarchical Recurrent Neural Networks for Acoustic Modeling

Jinhwan Park, Iksoo Choi, Yoonho Boo, Wonyong Sung

Self-Attentional Acoustic Models

Matthias Sperber, Jan Niehues, Graham Neubig, Sebastian Stüker, Alex Waibel

Twin Regularization for Online Speech Recognition

Mirco Ravanelli, Dmitriy Serdyuk, Yoshua Bengio

Filter Sampling and Combination CNN (FSC-CNN): A Compact CNN Model for Small-footprint ASR Acoustic Modeling Using Raw Waveforms

Jinxi Guo, Ning Xu, Xin Chen, Yang Shi, Kaiyuan Xu

Improving CTC-based Acoustic Model with Very Deep Residual Time-delay Neural Networks

Sheng Li, Xugang Lu, Ryoichi Takashima, Peng Shen, Tatsuya Kawahara

Knowledge Distillation for Sequence Model

Mingkun Huang, Yongbin You, Zhehuai Chen, Yanmin Qian, Kai Yu

Ladder Networks for Emotion Recognition: Using Unsupervised Auxiliary Tasks to Improve Predictions of Emotional Attributes

Srinivas Parthasarathy, Carlos Busso

On Enhancing Speech Emotion Recognition Using Generative Adversarial Networks

Saurabh Sahu, Rahul Gupta, Carol Espy-Wilson

Speech Emotion Recognition Using Spectrogram & Phoneme Embedding

Promod Yenigalla, Abhay Kumar, Suraj Tripathi, Chirag Singh, Sibsambhu Kar

Emotion Recognition from Variable-Length Speech Segments Using Deep Learning on Spectrograms

Xi Ma, Zhiyong Wu, Jia Jia, Mingxing Xu, Helen Meng

Imbalance Learning-based Framework for Fear Recognition in the MediaEval Emotional Impact of Movies Task

Xiaotong Zhang, Xingliang Cheng, Mingxing Xu, Thomas Fang Zheng

Speech Emotion Recognition from Variable-Length Inputs with Triplet Loss Function

Jian Huang, Ya Li, Jianhua Tao, Zhen Lian

Demonstrating and Modelling Systematic Time-varying Annotator Disagreement in Continuous Emotion Annotation

Mia Atcheson, Vidhyasaharan Sethu, Julien Epps

Investigating Speech Enhancement and Perceptual Quality for Speech Emotion Recognition

Anderson R. Avila, Md Jahangir Alam, Douglas O'Shaughnessy, Tiago Falk

Stochastic Shake-Shake Regularization for Affective Learning from Speech

Che-Wei Huang, Shrikanth Narayanan

Modeling Self-Reported and Observed Affect from Speech

Jian Cheng, Jared Bernstein, Elizabeth Rosenfeld, Peter W. Foltz, Alex S. Cohen

Cross-lingual Speech Emotion Recognition through Factor Analysis

Brecht Desplanques, Kris Demuynck

A Three-Layer Emotion Perception Model for Valence and Arousal-Based Detection from Multilingual Speech

Xingfeng Li, Masato Akagi

Categorical vs Dimensional Perception of Italian Emotional Speech

Emilia Parada-Cabaleiro, Giovanni Costantini, Anton Batliner, Alice Baird, Björn Schuller

MTGAN: Speaker Verification through Multitasking Triplet Generative Adversarial Networks

Wenhao Ding, Liang He

An End-to-End Text-Independent Speaker Identification System on Short Utterances

Ruifang Ji, Xinyuan Cai, Xu Bo

Angular Softmax for Short-Duration Text-independent Speaker Verification

Zili Huang, Shuai Wang, Kai Yu

Analysis of Length Normalization in End-to-End Speaker Verification System

Weicheng Cai, Jinkun Chen, Ming Li

I-vector Transformation Using Conditional Generative Adversarial Networks for Short Utterance Speaker Verification

Jiacen Zhang, Nakamasa Inoue, Koichi Shinoda

Triplet Network with Attention for Speaker Diarization

Huan Song, Megan Willi, Jayaraman J. Thiagarajan, Visar Berisha, Andreas Spanias

Robust Speaker Clustering using Mixtures of von Mises-Fisher Distributions for Naturalistic Audio Streams

Harishchandra Dubey, Abhijeet Sangwan, John H.L. Hansen

End-to-end Text-dependent Speaker Verification Using Novel Distance Measures

Subhadeep Dey, Srikanth Madikeri, Petr Motlicek

Employing Phonetic Information in DNN Speaker Embeddings to Improve Speaker Recognition Performance

Md Hafizur Rahman, Ivan Himawan, Mitchell McLaren, Clinton Fookes, Sridha Sridharan

Deeply Fused Speaker Embeddings for Text-Independent Speaker Verification

Gautam Bhattacharya, Md Jahangir Alam, Vishwa Gupta, Patrick Kenny

Avoiding Speaker Overfitting in End-to-End DNNs Using Raw Waveform for Text-Independent Speaker Verification

Jee-weon Jung, Hee-soo Heo, IL-ho Yang, Hye-jin Shim, Ha-Jin Yu

An Improved Deep Embedding Learning Method for Short Duration Speaker Verification

Zhifu Gao, Yan Song, Ian McLoughlin, Wu Guo, Lirong Dai

Self-Attentive Speaker Embeddings for Text-Independent Speaker Verification

Yingke Zhu, Tom Ko, David Snyder, Brian Mak, Daniel Povey

Analysis of Complementary Information Sources in the Speaker Embeddings Framework

Mahesh Kumar Nandwana, Mitchell McLaren, Diego Castan, Julien van Hout, Aaron Lawson

Training Utterance-level Embedding Networks for Speaker Identification and Verification

Heewoong Park, Sukhyun Cho, Kyubyong Park, Namju Kim, Jonghun Park

Multi-frame Coding of LSF Parameters Using Block-Constrained Trellis Coded Vector Quantization

Yaxing Li, Shan Xu, Shengwu Xiong, Anna Zhu, Pengfei Duan

Multi-frame Quantization of LSF Parameters Using a Deep Autoencoder and Pyramid Vector Quantizer

Yaxing Li, Eshete Derb Emiru, Shengwu Xiong, Anna Zhu, Pengfei Duan

Temporal Noise Shaping with Companding

Arijit Biswas, Per Hedelin, Lars Villemoes, Vinay Melkote

Postfiltering Using Log-Magnitude Spectrum for Speech and Audio Coding

Sneha Das, Tom Bäckström

Postfiltering with Complex Spectral Correlations for Speech and Audio Coding

Sneha Das, Tom Bäckström

Dithered Quantization for Frequency-Domain Speech and Audio Coding

Tom Bäckström, Johannes Fischer, Sneha Das

Multimodal Name Recognition in Live TV Subtitling

Marek Hrúz, Aleš Pražák, Michal Busta

Speaker Adaptive Audio-Visual Fusion for the Open-Vocabulary Section of AVICAR

Leda Sari, Mark Hasegawa-Johnson, Kumaran S, Georg Stemmer, Krishnakumar N Nair

Iterative Learning of Speech Recognition Models for Air Traffic Control

Ajay Srinivasamurthy, Petr Motlicek, Mittul Singh, Youssef Oualil, Matthias Kleinert

Deep Lip Reading: A Comparison of Models and an Online Application

Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman

Semi-supervised Cross-domain Visual Feature Learning for Audio-Visual Broadcast Speech Transcription

Rongfeng Su, Xunying Liu, Lan Wang

Annotator Trustability-based Cooperative Learning Solutions for Intelligent Audio Analysis

Simone Hantke, Christoph Stemp, Björn Schuller

Investigations on Data Augmentation and Loss Functions for Deep Learning Based Speech-Background Separation

Hakan Erdogan, Takuya Yoshioka

Towards Automated Single Channel Source Separation Using Neural Networks

Arpita Gang, Pravesh Biyani, Akshay Soni

Monoaural Audio Source Separation Using Variational Autoencoders

Laxmi Pandey, Anurendra Kumar, Vinay Namboodiri

A Two-Stage Approach to Noisy Cochannel Speech Separation with Gated Residual Networks

Ke Tan, Deliang Wang

A Shifted Delta Coefficient Objective for Monaural Speech Separation Using Multi-task Learning

Chenglin Xu, Wei Rao, Eng Siong Chng, Haizhou Li

Deep Speech Denoising with Vector Space Projections

Jeffrey Hetherly, Paul Gamble, Maria Alejandra Barrios, Cory Stephenson, Karl Ni

An Efficient Approach to Encoding Context for Spoken Language Understanding

Raghav Gupta, Abhinav Rastogi, Dilek Hakkani-Tur

User Information Augmented Semantic Frame Parsing Using Progressive Neural Networks

Yilin Shen, Xiangyu Zeng, Yu Wang, Hongxia Jin

Spoken SQuAD: A Study of Mitigating the Impact of Speech Recognition Errors on Listening Comprehension

Chia-Hsuan Lee, Szu-Lin Wu, Chi-Liang Liu, Hung-yi Lee

Robust Spoken Language Understanding via Paraphrasing

Avik Ray, Yilin Shen, Hongxia Jin

Is ATIS Too Shallow to Go Deeper for Benchmarking Spoken Language Understanding Models?

Frédéric Béchet, Christian Raymond

A Deep Reinforcement Learning Based Multimodal Coaching Model (DCM) for Slot Filling in Spoken Language Understanding(SLU)

Yu Wang, Abhishek Patel, Yilin Shen, Hongxia Jin

Speaker and Language Recognition -- From Laboratory Technologies to the Wild

Sriram Ganapathy

Learning Conditional Acoustic Latent Representation with Gender and Age Attributes for Automatic Pain Level Recognition

Jeng-Lin Li, Yi-Ming Weng, Chip-Jin Ng, Chi-Chun Lee

A Lightly Supervised Approach to Detect Stuttering in Children's Speech

Sadeen Alharbi, Madina Hasan, Anthony J H Simons, Shelagh Brumfitt, Phil Green

Patient Privacy in Paralinguistic Tasks

Francisco Teixeira, Alberto Abad, Isabel Trancoso

Towards an Unsupervised Entrainment Distance in Conversational Speech Using Deep Neural Networks

Md Nasir, Brian Baucom, Shrikanth Narayanan, Panayiotis Georgiou

Automatic Speech Assessment for People with Aphasia Using TDNN-BLSTM with Multi-Task Learning

Ying Qin, Tan Lee, Siyuan Feng, Anthony Pak Hin Kong

Using Prosodic and Lexical Information for Learning Utterance-level Behaviors in Psychotherapy

Karan Singla, Zhuohao Chen, Nikolaos Flemotomos, James Gibson, Dogan Can

Identifying Schizophrenia Based on Temporal Parameters in Spontaneous Speech

Gábor Gosztolya, Anita Bagi, Szilvia Szalóki, István Szendi, Ildikó Hoffmann

Dysarthric Speech Classification Using Glottal Features Computed from Non-words, Words and Sentences

Narendra N P, Paavo Alku

Multi-Lingual Depression-Level Assessment from Conversational Speech Using Acoustic and Text Features

Yasin Özkanca, Cenk Demiroglu, Aslı Besirli, Selime Celik

Depression Detection from Short Utterances via Diverse Smartphones in Natural Environmental Conditions

Zhaocheng Huang, Julien Epps, Dale Joachim, Michael Chen

How Did You like 2017? Detection of Language Markers of Depression and Narcissism in Personal Narratives

Eva-Maria Rathner, Julia Djamali, Yannik Terhorst, Björn Schuller, Nicholas Cummins

i-Vectors in Language Modeling: An Efficient Way of Domain Adaptation for Feed-Forward Models

Karel Beneš, Santosh Kesiraju, Lukas Burget

What to Expect from Expected Kneser-Ney Smoothing

Michael Levit, Sarangarajan Parthasarathy, Shuangyu Chang

Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition

Ke Li, Hainan Xu, Yiming Wang, Daniel Povey, Sanjeev Khudanpur

Efficient Language Model Adaptation with Noise Contrastive Estimation and Kullback-Leibler Regularization

Jesus Andres-Ferrer, Nathan Bodenstab, Paul Vozila

Online Incremental Learning for Speaker-Adaptive Language Models

Chih Chi Hu, Bing Liu, John Shen, Ian Lane

Investigation on LSTM Recurrent N-gram Language Models for Speech Recognition

Zoltán Tüske, Ralf Schlüter, Hermann Ney

Training Recurrent Neural Network through Moment Matching for NLP Applications

Yue Deng, Yilin Shen, KaWai Chen, Hongxia Jin

Improving Language Modeling with an Adversarial Critic for Automatic Speech Recognition

Yike Zhang, Pengyuan Zhang, Yonghong Yan

Unsupervised and Efficient Vocabulary Expansion for Recurrent Neural Network Language Models in ASR

Yerbolat Khassanov, Eng Siong Chng

Active Memory Networks for Language Modeling

Oscar Chen, Anton Ragni, Mark Gales, Xie Chen

Contextual Language Model Adaptation for Conversational Agents

Anirudh Raju, Behnam Hedayatnia, Linda Liu, Ankur Gandhe, Chandra Khatri

Multi-modal Attention Mechanisms in LSTM and Its Application to Acoustic Scene Classification

Teng Zhang, Kailai Zhang, Ji Wu

Wavelet Transform Based Mel-scaled Features for Acoustic Scene Classification

Shefali Waldekar, Goutam Saha

Robust Acoustic Event Classification Using Bag-of-Visual-Words

Manjunath Mulimani, Shashidhar G Koolagudi

Early Detection of Continuous and Partial Audio Events Using CNN

Ian McLoughlin, Yan Song, Lam Dang Pham, Ramaswamy Palaniappan, Huy Phan

Time Aggregation Operators for Multi-label Audio Event Detection

Pankaj Joshi, Digvijaysingh Gautam, Ganesh Ramakrishnan, Preethi Jyothi