Interspeech 2018

791 papers

Deep Convolutional Neural Network with Scalogram for Audio Scene Modeling

Hangting Chen, Pengyuan Zhang, Haichuan Bai, Qingsheng Yuan, Xiuguo Bao

ASe: Acoustic Scene Embedding Using Deep Archetypal Analysis and GMM

Pulkit Sharma, Vinayak Abrol, Anshul Thakur

A Compact and Discriminative Feature Based on Auditory Summary Statistics for Acoustic Scene Classification

Hongwei Song, Jiqing Han, Shiwen Deng

Data Independent Sequence Augmentation Method for Acoustic Scene Classification

Zhang Teng, Kailai Zhang, Ji Wu

Unsupervised Temporal Feature Learning Based on Sparse Coding Embedded BoAW for Acoustic Event Recognition

Liwen Zhang, Jiqing Han, Shiwen Deng

Multiple Instance Deep Learning for Weakly Supervised Small-Footprint Audio Event Detection

Shao-Yen Tseng, Juncheng Li, Yun Wang, Florian Metze, Joseph Szurley

A Priori SNR Estimation Based on a Recurrent Neural Network for Robust Speech Enhancement

Yangyang Xia, Richard Stern

Error Modeling via Asymmetric Laplace Distribution for Deep Neural Network Based Single-Channel Speech Enhancement

Li Chai, Jun Du, Chin-Hui Lee

Biophysically-inspired Features Improve the Generalizability of Neural Network-based Speech Enhancement Systems

Deepak Baby, Sarah Verhulst

Adversarial Feature-Mapping for Speech Enhancement

Zhong Meng, Jinyu Li, Yifan Gong, Biing-Hwang (Fred) Juang

Speech Enhancement Using Deep Mixture of Experts Based on Hard Expectation Maximization

Pavan Karjol, Prasanta Kumar Ghosh

Student-Teacher Learning for BLSTM Mask-based Speech Enhancement

Aswin Shanmugam Subramanian, Szu-Jui Chen, Shinji Watanabe

The Conversation: Deep Audio-Visual Speech Enhancement

Triantafyllos Afouras, Joon Son Chung, Andrew Zisserman

Deep Learning for Acoustic Echo Cancellation in Noisy and Double-Talk Scenarios

Hao Zhang, Deliang Wang

All-Neural Multi-Channel Speech Enhancement

Zhong-Qiu Wang, Deliang Wang

A Convolutional Recurrent Neural Network for Real-Time Speech Enhancement

Ke Tan, Deliang Wang

A Deep Neural Network Based Harmonic Noise Model for Speech Enhancement

Zhiheng Ouyang, Hongjiang Yu, Wei-Ping Zhu, Benoit Champagne

Deep Noise Tracking Network: A Hybrid Signal Processing/Deep Learning Approach to Speech Enhancement

Shuai Nie, Shan Liang, Bin Liu, Yaping Zhang, Wenju Liu

Speech Synthesis in the Wild

Ganesh Sivaraman, Parav Nagarsheth, Elie Khoury

Voice-powered Solutions with Cloud AI

Dan Aharon

AGROASSAM: A Web Based Assamese Speech Recognition Application for Retrieving Agricultural Commodity Price and Weather Information

Abhishek Dey, Abhash Deka, Siddika Imani, Barsha Deka, Rohit Sinha

An Automated Assistant for Medical Scribes

Gregory Finley, Erik Edwards, Amanda Robinson, Najmeh Sadoughi, James Fone

ISI ASR System for the Low Resource Speech Recognition Challenge for Indian Languages

Jayadev Billa

Articulatory and Stacked Bottleneck Features for Low Resource Speech Recognition

Vishwas M. Shetty, Rini A Sharon, Basil Abraham, Tejaswi Seeram, Anusha Prakash

TDNN-based Multilingual Speech Recognition System for Low Resource Indian Languages

Noor Fathima, Tanvina Patel, Mahima C, Anuroop Iyengar

An Exploration towards Joint Acoustic Modeling for Indian Languages: IIIT-H Submission for Low Resource Speech Recognition Challenge for Indian Languages, INTERSPEECH 2018

hari Krishna Vydana, Krishna Gurugubelli, V V V Raju, Anil Kumar Vuppala

DA-IICT/IIITV System for Low Resource Speech Recognition Challenge 2018

Hardik B. Sailor, Maddala Venkata Siva Krishna, Diksha Chhabra, Ankur T. Patil, Madhu Kamble

BUT System for Low Resource Indian Language ASR

Bhargav Pulugundla, Murali Karthick Baskar, Santosh Kesiraju, Ekaterina Egorova, Martin Karafiat

Transcription Correction for Indian Languages Using Acoustic Signatures

Jeena JPrakash, Golda Brunet Rajan, Hema Murthy

Multi-Task Learning of Speech Recognition and Speech Synthesis Parameters for Ultrasound-based Silent Speech Interfaces

László Tóth, Gábor Gosztolya, Tamás Grósz, Alexandra Markó, Tamás Gábor Csapó

Domain-Adversarial Training for Session Independent EMG-based Speech Recognition

Michael Wand, Tanja Schultz, Jürgen Schmidhuber

Investigating Objective Intelligibility in Real-Time EMG-to-Speech Conversion

Lorenz Diener, Tanja Schultz

Effectiveness of Generative Adversarial Network for Non-Audible Murmur-to-Whisper Speech Conversion

Neil Shah, Nirmesh Shah, Hemant Patil

Articulation-to-Speech Synthesis Using Articulatory Flesh Point Sensors’ Orientation Information

Beiming Cao, Myungjong Kim, Jun R. Wang, Jan van Santen, Ted Mau

A Neural Model to Predict Parameters for a Generalized Command Response Model of Intonation

Bastian Schnell, Philip N. Garner

Designing a Pneumatic Bionic Voice Prosthesis - A Statistical Approach for Source Excitation Generation

Farzaneh Ahmadi, Tomoki Toda

Noise Robust Acoustic to Articulatory Speech Inversion

Nadee Seneviratne, Ganesh Sivaraman, Vikramjit Mitra, Carol Espy-Wilson

Air-Tissue Boundary Segmentation in Real-Time Magnetic Resonance Imaging Video Using Semantic Segmentation with Fully Convolutional Networks

Valliappan CA, Renuka Mannem, Prasanta Kumar Ghosh

Automatic Visual Augmentation for Concatenation Based Synthesized Articulatory Videos from Real-time MRI Data for Spoken Language Training

Chandana S, Chiranjeevi Yarra, Ritu Aggarwal, Sanjeev Kumar Mittal, Kausthubha N K

Low Resource Acoustic-to-articulatory Inversion Using Bi-directional Long Short Term Memory

Aravind Illa, Prasanta Kumar Ghosh

Tongue Segmentation with Geometrically Constrained Snake Model

Zhihua Su, Jianguo Wei, Qiang Fang, Jianrong Wang, Kiyoshi Honda

Phoneme-to-Articulatory Mapping Using Bidirectional Gated RNN

Théo Biasutto-Lervat, Slim Ouni

Variational Autoencoders for Learning Latent Representations of Speech Emotion: A Preliminary Study

Siddique Latif, Rajib Rana, Junaid Qadir, Julien Epps

Encoding Individual Acoustic Features Using Dyad-Augmented Deep Variational Representations for Dialog-level Emotion Recognition

Jeng-Lin Li, Chi-Chun Lee

Emotion Identification from Raw Speech Signals Using DNNs

Mousmita Sarma, Pegah Ghahremani, Daniel Povey, Nagendra Kumar Goel, Kandarpa Kumar Sarma

Predicting Arousal and Valence from Waveforms and Spectrograms Using Deep Neural Networks

Zixiaofan Yang, Julia Hirschberg

An Attention Pooling Based Representation Learning Method for Speech Emotion Recognition

Pengcheng Li, Yan Song, Ian McLoughlin, Wu Guo, Lirong Dai

Bags in Bag: Generating Context-Aware Bags for Tracking Emotions from Speech

Jing Han, Zixing Zhang, Maximilian Schmitt, Zhao Ren, Fabien Ringeval

EMPHASIS: An Emotional Phoneme-based Acoustic Model for Speech Synthesis System

Hao Li, Yongguo Kang, Zhenyu Wang

Rapid Style Adaptation Using Residual Error Embedding for Expressive Speech Synthesis

Xixin Wu, Yuewen Cao, Mu Wang, Songxiang Liu, Shiyin Kang

Expressive Speech Synthesis via Modeling Expressions with Variational Autoencoder

Kei Akuzawa, Yusuke Iwasawa, Yutaka Matsuo

Expressive Speech Synthesis Using Sentiment Embeddings

Igor Jauk, Jaime Lorenzo-Trueba, Junichi Yamagishi, Antonio Bonafonte

Neural MultiVoice Models for Expressing Novel Personalities in Dialog

Shereen Oraby, Lena Reed, Sharath T.S., Shubhangi Tandon, Marilyn Walker

Effects of Dimensional Input on Paralinguistic Information Perceived from Synthesized Dialogue Speech with Neural Network

Masaki Yokoyama, Tomohiro Nagata, Hiroki Mori

A Probability Weighted Beamformer for Noise Robust ASR

Suliang Bu, Yunxin Zhao, Meiyuh Hwang, Sining Sun

Integrating Neural Network Based Beamforming and Weighted Prediction Error Dereverberation

Lukas Drude, Christoph Boeddeker, Jahn Heymann, Reinhold Haeb-Umbach, Keisuke Kinoshita

Recognizing Overlapped Speech in Meetings: A Multichannel Separation Approach Using Neural Networks

Takuya Yoshioka, Hakan Erdogan, Zhuo Chen, Xiong Xiao, Fil Alleva

Stream Attention for Distributed Multi-Microphone Speech Recognition

Xiaofei Wang, Ruizhi Li, Hynek Hermansky

Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models

Chanwoo Kim, Ehsan Variani, Arun Narayanan, Michiel Bacchiani

Far-Field Speech Recognition Using Multivariate Autoregressive Models

Sriram Ganapathy, Madhumita Harish

Speech and Language Processing for Learning and Wellbeing

Helen Meng

A Preliminary Study on Tonal Coarticulation in Continuous Speech

Lixia Hao, Wei Zhang, Yanlu Xie, Jinsong Zhang

Respiratory and Respiratory Muscular Control in JL1’s and JL2’s Text Reading Utilizing 4-RSTs and a Soft Respiratory Mask with a Two-Way Bulb

Toshiko Isei-Jaakkola, Keiko Ochi, Keikichi Hirose

Automatic Glottis Localization and Segmentation in Stroboscopic Videos Using Deep Neural Network

Achuth Rao MV, Rahul Krishnamurthy, Pebbili Gopikishore, Veeramani Priyadharshini, Prasanta Kumar Ghosh

Classification of Disorders in Vocal Folds Using Electroglottographic Signal

Tanumay Mandal, K. Sreenivasa Rao, Sanjay Kumar Gupta

Estimation of the Asymmetry Parameter of the Glottal Flow Waveform Using the Electroglottographic Signal

João Cabral

Relating Articulatory Motions in Different Speaking Rates

Astha Singh, G. Nisha Meenakshi, Prasanta Kumar Ghosh

Interaction Mechanisms between Glottal Source and Vocal Tract in Pitch Glides

Tiina Murtola, Jarmo Malinen

The Role of Temporal Variation in Narrative Organization

Nassima Fezza

Prosodic Focus Acquisition in French Early Cochlear Implanted Children

Chadi Farah, Stephane Roman, Mariapaola D'Imperio

Speech Recognition for Medical Conversations

Chung-Cheng Chiu, Anshuman Tripathi, Katherine Chou, Chris Co, Navdeep Jaitly

Long Distance Voice Channel Diagnosis Using Deep Neural Networks

Zhen Qin, Tom Ko, Guangjian Tian

Mining Multimodal Repositories for Speech Affecting Diseases

Joana Correia, Bhiksha Raj, Isabel Trancoso, Francisco Teixeira

Articulatory Features for ASR of Pathological Speech

Emre Yılmaz, Vikramjit Mitra, Chris Bartels, Horacio Franco

Perceptual and Automatic Evaluations of the Intelligibility of Speech Degraded by Noise Induced Hearing Loss Simulation

Imed Laaridh, Julien Tardieu, Cynthia Magnen, Pascal Gaillard, Jérôme Farinas

Dysarthric Speech Recognition Using Convolutional LSTM Neural Network

Myungjong Kim, Beiming Cao, Kwanghoon An, Jun Wang

Automatic Evaluation of Speech Intelligibility Based on I-vectors in the Context of Head and Neck Cancers

Imed Laaridh, Corinne Fredouille, Alain Ghio, Muriel Lalain, Virginie Woisard

Development of the CUHK Dysarthric Speech Recognition System for the UA Speech Corpus

Jianwei Yu, Xurong Xie, Shansong Liu, Shoukang Hu, Max W. Y. Lam

Multilingual Deep Neural Network Training Using Cyclical Learning Rate

Andreas Søeborg Kirkedal, Yeon-Jun Kim

A Study of Enhancement, Augmentation and Autoencoder Methods for Domain Adaptation in Distant Speech Recognition

Hao Tang, Wei-Ning Hsu, François Grondin, James Glass

Lattice-free State-level Minimum Bayes Risk Training of Acoustic Models

Naoyuki Kanda, Yusuke Fujita, Kenji Nagamatsu

Combining Natural Gradient with Hessian Free Methods for Sequence Training

Adnan Haider, Philip Woodland

Improved Training for Online End-to-end Speech Recognition Systems

Suyoun Kim, Michael Seltzer, Jinyu Li, Rui Zhao

Comparison of Unsupervised Modulation Filter Learning Methods for ASR

Purvi Agrawal, Sriram Ganapathy

An Investigation of Mixup Training Strategies for Acoustic Models in ASR

Ivan Medennikov, Yuri Khokhlov, Aleksei Romanenko, Dmitry Popov, Natalia Tomashenko

Active Learning for LF-MMI Trained Neural Networks in ASR

Yanhua Long, Hong Ye, Yijie Li, Jiaen Liang

Inference-Invariant Transformation of Batch Normalization for Domain Adaptation of Acoustic Models

Masayuki Suzuki, Tohru Nagano, Gakuto Kurata, Samuel Thomas

Investigation on the Combination of Batch Normalization and Dropout in BLSTM-based Acoustic Modeling for ASR

Li Wenjie, Gaofeng Cheng, Fengpei Ge, Pengyuan Zhang, Yonghong Yan

Lightly Supervised vs. Semi-supervised Training of Acoustic Model on Luxembourgish for Low-resource Automatic Speech Recognition

Karel Veselý, Carlos Segura, Igor Szőke, Jordi Luque, Jan Černocký

Data Requirements, Selection and Augmentation for DNN-based Speech Synthesis from Crowdsourced Data

Markus Toman, Geoffrey S. Meltzner, Rupal Patel

A Comparison of Speaker-based and Utterance-based Data Selection for Text-to-Speech Synthesis

Kai-Zhan Lee, Erica Cooper, Julia Hirschberg

Word Emphasis Prediction for Expressive Text to Speech

Yosi Mass, Slava Shechtman, Moran Mordechay, Ron Hoory, Oren Sar Shalom

The Perception and Analysis of the Likeability and Human Likeness of Synthesized Speech

Alice Baird, Emilia Parada-Cabaleiro, Simone Hantke, Felix Burkhardt, Nicholas Cummins

On Training and Evaluation of Grapheme-to-Phoneme Mappings with Limited Data

Dravyansh Sharma

Gated Convolutional Neural Network for Sentence Matching

Peixin Chen, Wu Guo, Zhi Chen, Jian Sun, Lanhua You

Attentive Sequence-to-Sequence Learning for Diacritic Restoration of YorùBá Language Text

Iroro Orife

Measuring the Cognitive Load of Synthetic Speech Using a Dual Task Paradigm

Avashna Govender, Simon King

Using Pupillometry to Measure the Cognitive Load of Synthetic Speech

Avashna Govender, Simon King

Investigation of Using Disentangled and Interpretable Representations for One-shot Cross-lingual Voice Conversion

Seyed Hamidreza Mohammadi, Taehwan Kim

A Hybrid Approach to Grapheme to Phoneme Conversion in Assamese

Somnath Roy, Shakuntala Mahanta