Interspeech 2019

965 papers

M2H-GAN: A GAN-Based Mapping from Machine to Human Transcripts for Speech Understanding

Titouan Parcollet, Mohamed Morchid, Xavier Bost, Georges Linarès

Adapting a FrameNet Semantic Parser for Spoken Language Understanding Using Adversarial Learning

Gabriel Marzinotto, Geraldine Damnati, Frédéric Béchet

One-vs-All Models for Asynchronous Training: An Empirical Analysis

Rahul Gupta, Aman Alok, Shankar Ananthakrishnan

Mitigating Noisy Inputs for Question Answering

Denis Peskov, Joe Barrow, Pedro Rodriguez, Graham Neubig, Jordan Boyd-Graber

Personalizing ASR for Dysarthric and Accented Speech with Limited Data

Joel Shor, Dotan Emanuel, Oran Lang, Omry Tuval, Michael Brenner

A Multi-Accent Acoustic Model Using Mixture of Experts for Speech Recognition

Abhinav Jain, Vishwanath P. Singh, Shakti P. Rath

An Investigation into On-Device Personalization of End-to-End Automatic Speech Recognition Models

Khe Chai Sim, Petr Zadrazil, Françoise Beaufays

Learning Speaker Aware Offsets for Speaker Adaptation of Neural Networks

Leda Sarı, Samuel Thomas, Mark A. Hasegawa-Johnson

End-to-End Adaptation with Backpropagation Through WFST for On-Device Speech Recognition System

Emiru Tsunoo, Yosuke Kashiwagi, Satoshi Asakawa, Toshiyuki Kumakura

Fast DNN Acoustic Model Speaker Adaptation by Learning Hidden Unit Contribution Features

Xurong Xie, Xunying Liu, Tan Lee, Lan Wang

Cumulative Adaptation for BLSTM Acoustic Models

Markus Kitza, Pavel Golik, Ralf Schlüter, Hermann Ney

Unsupervised Adaptation with Adversarial Dropout Regularization for Robust Speech Recognition

Pengcheng Guo, Sining Sun, Lei Xie

Multi-Accent Adaptation Based on Gate Mechanism

Han Zhu, Li Wang, Pengyuan Zhang, Yonghong Yan

Improved Vocal Tract Length Perturbation for a State-of-the-Art End-to-End Speech Recognition System

Chanwoo Kim, Minkyu Shin, Abhinav Garg, Dhananjaya Gowda

Exploiting Semi-Supervised Training Through a Dropout Regularization in End-to-End Speech Recognition

Subhadeep Dey, Petr Motlicek, Trung Bui, Franck Dernoncourt

Semi-Supervised Voice Conversion with Amortized Variational Inference

Cory Stephenson, Gokce Keskin, Anil Thomas, Oguz H. Elibol

Group Latent Embedding for Vector Quantized Variational Autoencoder in Non-Parallel Voice Conversion

Shaojin Ding, Ricardo Gutierrez-Osuna

Generative Adversarial Networks for Unpaired Voice Transformation on Impaired Speech

Li-Wei Chen, Hung-yi Lee, Yu Tsao

Jointly Trained Conversion Model and WaveNet Vocoder for Non-Parallel Voice Conversion Using Mel-Spectrograms and Phonetic Posteriorgrams

Songxiang Liu, Yuewen Cao, Xixin Wu, Lifa Sun, Xunying Liu

Investigation of F0 Conditioning and Fully Convolutional Networks in Variational Autoencoder Based Voice Conversion

Wen-Chin Huang, YI-CHIAO WU, Chen-Chou Lo, Patrick Lumban Tobing, Tomoki Hayashi

One-Shot Voice Conversion with Disentangled Representations by Leveraging Phonetic Posteriorgrams

Seyed Hamidreza Mohammadi, Taehwan Kim

Probability Density Distillation with Generative Adversarial Networks for High-Quality Parallel Waveform Generation

Ryuichi Yamamoto, Eunwoo Song, Jae-Min Kim

GELP: GAN-Excited Linear Prediction for Speech Synthesis from Mel-Spectrogram

Lauri Juvela, Bajibabu Bollepalli, Junichi Yamagishi, Paavo Alku

Fast Learning for Non-Parallel Many-to-Many Voice Conversion with Residual Star Generative Adversarial Networks

Shengkui Zhao, Trung Hieu Nguyen, Hao Wang, Bin Ma

Robustness of Statistical Voice Conversion Based on Direct Waveform Modification Against Background Sounds

Yusuke Kurita, Kazuhiro Kobayashi, Kazuya Takeda, Tomoki Toda

StarGAN-VC2: Rethinking Conditional Methods for StarGAN-Based Voice Conversion

Takuhiro Kaneko, Hirokazu Kameoka, Kou Tanaka, Nobukatsu Hojo

Non-Parallel Voice Conversion with Cyclic Variational Autoencoder

Patrick Lumban Tobing, YI-CHIAO WU, Tomoki Hayashi, Kazuhiro Kobayashi, Tomoki Toda

One-Shot Voice Conversion with Global Speaker Embeddings

Hui Lu, Zhiyong Wu, Dongyang Dai, Runnan Li, Shiyin Kang

One-Shot Voice Conversion by Separating Speaker and Content Representations with Instance Normalization

Ju-Chieh Chou, Hung-yi Lee

Non-Parallel Voice Conversion Using Weighted Generative Adversarial Networks

Dipjyoti Paul, Yannis Pantazis, Yannis Stylianou

Regression and Classification for Direction-of-Arrival Estimation with Convolutional Recurrent Neural Networks

Zhenyu Tang, John D. Kanu, Kevin Hogan, Dinesh Manocha

An Approach to Online Speaker Change Point Detection Using DNNs and WFSTs

Lukas Mateju, Petr Cerva, Jindrich Zdansky

Weakly Supervised Syllable Segmentation by Vowel-Consonant Peak Classification

Ravi Shankar, Archana Venkataraman

Phone Aware Nearest Neighbor Technique Using Spectral Transition Measure for Non-Parallel Voice Conversion

Nirmesh J. Shah, Hemant A. Patil

Effects of Base-Frequency and Spectral Envelope on Deep-Learning Speech Separation and Recognition Models

J. Hui, Y. Wei, S.T. Chen, R.H.Y. So

Dr.VOT: Measuring Positive and Negative Voice Onset Time in the Wild

Yosi Shrem, Matthew Goldrick, Joseph Keshet

A Combination of Model-Based and Feature-Based Strategy for Speech-to-Singing Alignment

Bidisha Sharma, Haizhou Li

Rare Sound Event Detection Using Deep Learning and Data Augmentation

Yanping Chen, Hongxia Jin

Acoustic Scene Classification Using Teacher-Student Learning with Soft-Labels

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

Automatic Detection of Breath Using Voice Activity Detection and SVM Classifier with Application on News Reports

Mohamed Ismail Yasar Arafath K., Aurobinda Routray

Early Identification of Speech Changes Due to Amyotrophic Lateral Sclerosis Using Machine Classification

Sarah E. Gutz, Jun Wang, Yana Yunusova, Jordan R. Green

Integrating Video Retrieval and Moment Detection in a Unified Corpus for Video Question Answering

Hongyin Luo, Mitra Mohtarami, James Glass, Karthik Krishnamurthy, Brigitte Richardson

Automatic Compression of Subtitles with Neural Networks and its Effect on User Experience

Katrin Angerbauer, Heike Adel, Ngoc Thang Vu

EpaDB: A Database for Development of Pronunciation Assessment Systems

Jazmín Vidal, Luciana Ferrer, Leonardo Brambilla

Detecting Mismatch Between Speech and Transcription Using Cross-Modal Attention

Qiang Huang, Thomas Hain

Automatic Lyric Transcription from Karaoke Vocal Tracks: Resources and a Baseline System

Gerardo Roa Dabike, Jon Barker

Active Annotation: Bootstrapping Annotation Lexicon and Guidelines for Supervised NLU Learning

Federico Marinelli, Alessandra Cervone, Giuliano Tortoreto, Evgeny A. Stepanov, Giuseppe Di Fabbrizio

Qualitative Evaluation of ASR Adaptation in a Lecture Context: Application to the PASTEL Corpus

Salima Mdhaffar, Yannick Estève, Nicolas Hernandez, Antoine Laurent, Richard Dufour

RadioTalk: A Large-Scale Corpus of Talk Radio Transcripts

Doug Beeferman, William Brannon, Deb Roy

Comparative Analysis of Think-Aloud Methods for Everyday Activities in the Context of Cognitive Robotics

Moritz Meier, Celeste Mason, Felix Putze, Tanja Schultz

Code-Switching Sentence Generation by Generative Adversarial Networks and its Application to Data Augmentation

Ching-Ting Chang, Shun-Po Chuang, Hung-yi Lee

Phonet: A Tool Based on Gated Recurrent Neural Networks to Extract Phonological Posteriors from Speech

J.C. Vasquez-Correa, Philipp Klumpp, Juan Rafael Orozco-Arroyave, Elmar Nöth

Do not Hesitate! — Unless You Do it Shortly or Nasally: How the Phonetics of Filled Pauses Determine Their Subjective Frequency and Perceived Speaker Performance

Oliver Niebuhr, Kerstin Fischer

Sincerity in Acted Speech: Presenting the Sincere Apology Corpus and Results

Alice Baird, Eduardo Coutinho, Julia Hirschberg, Bjorn W. Schuller

Using Speech to Predict Sequentially Measured Cortisol Levels During a Trier Social Stress Test

Alice Baird, Shahin Amiriparian, Nicholas Cummins, Sarah Sturmbauer, Johanna Janson

Towards an Annotation Scheme for Complex Laughter in Speech Corpora

Khiet P. Truong, Jürgen Trouvain, Michel-Pierre Jansen

Laughter Dynamics in Dyadic Conversations

Bogdan Ludusan, Petra Wagner

Conversational and Social Laughter Synthesis with WaveNet

Hiroki Mori, Tomohiro Nagata, Yoshiko Arimoto

Calibrating DNN Posterior Probability Estimates of HMM/DNN Models to Improve Social Signal Detection from Audio Data

Gábor Gosztolya, László Tóth

Deep Learning Based Mandarin Accent Identification for Accent Robust ASR

Felix Weninger, Yang Sun, Junho Park, Daniel Willett, Puming Zhan

Mitigating Gender and L1 Differences to Improve State and Trait Recognition

Guozhen An, Rivka Levitan

Predicting the Leading Political Ideology of YouTube Channels Using Acoustic, Textual, and Metadata Information

Yoan Dinkov, Ahmed Ali, Ivan Koychev, Preslav Nakov

Predicting Humor by Learning from Time-Aligned Comments

Zixiaofan Yang, Bingyan Hu, Julia Hirschberg

Jointly Adversarial Enhancement Training for Robust End-to-End Speech Recognition

Bin Liu, Shuai Nie, Shan Liang, Wenju Liu, Meng Yu

One-Pass Single-Channel Noisy Speech Recognition Using a Combination of Noisy and Enhanced Features

Masakiyo Fujimoto, Hisashi Kawai

Universal Adversarial Perturbations for Speech Recognition Systems

Paarth Neekhara, Shehzeen Hussain, Prakhar Pandey, Shlomo Dubnov, Julian McAuley

Enhanced Spectral Features for Distortion-Independent Acoustic Modeling

Peidong Wang, Deliang Wang

Bridging the Gap Between Monaural Speech Enhancement and Recognition with Distortion-Independent Acoustic Modeling

Peidong Wang, Ke Tan, Deliang Wang

Improved Speaker-Dependent Separation for CHiME-5 Challenge

Jian Wu, Yong Xu, Shi-Xiong Zhang, Lianwu Chen, Meng Yu

Knowledge Distillation for Throat Microphone Speech Recognition

Takahito Suzuki, Jun Ogata, Takashi Tsunakawa, Masafumi Nishida, Masafumi Nishimura

NIESR: Nuisance Invariant End-to-End Speech Recognition

I-Hung Hsu, Ayush Jaiswal, Premkumar Natarajan

End-to-End SpeakerBeam for Single Channel Target Speech Recognition

Marc Delcroix, Shinji Watanabe, Tsubasa Ochiai, Keisuke Kinoshita, Shigeki Karita

Far-Field Speech Enhancement Using Heteroscedastic Autoencoder for Improved Speech Recognition

Shashi Kumar, Shakti P. Rath

Generative Noise Modeling and Channel Simulation for Robust Speech Recognition in Unseen Conditions

Meet Soni, Sonal Joshi, Ashish Panda

Full-Sentence Correlation: A Method to Handle Unpredictable Noise for Robust Speech Recognition

Ji Ming, Danny Crookes

Speaker-Invariant Feature-Mapping for Distant Speech Recognition via Adversarial Teacher-Student Learning

Long Wu, Hangting Chen, Li Wang, Pengyuan Zhang, Yonghong Yan

Label Driven Time-Frequency Masking for Robust Continuous Speech Recognition

Meet Soni, Ashish Panda

Examining the Combination of Multi-Band Processing and Channel Dropout for Robust Speech Recognition

György Kovács, László Tóth, Dirk Van Compernolle, Marcus Liwicki

Toeplitz Inverse Covariance Based Robust Speaker Clustering for Naturalistic Audio Streams

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

Large-Scale Speaker Diarization of Radio Broadcast Archives

Emre Yılmaz, Adem Derinel, Kun Zhou, Henk van den Heuvel, Niko Brümmer

Speaker Augmentation and Bandwidth Extension for Deep Speaker Embedding

Hitoshi Yamamoto, Kong Aik Lee, Koji Okabe, Takafumi Koshinaka

Normal Variance-Mean Mixtures for Unsupervised Score Calibration

Sandro Cumani

Joint Speech Recognition and Speaker Diarization via Sequence Transduction

Laurent El Shafey, Hagen Soltau, Izhak Shafran

Speaker Diarization with Lexical Information

Tae Jin Park, Kyu J. Han, Jing Huang, Xiaodong He, Bowen Zhou

Speaker-Corrupted Embeddings for Online Speaker Diarization

Omid Ghahabi, Volker Fischer

Speaker Diarization Using Leave-One-Out Gaussian PLDA Clustering of DNN Embeddings

Alan McCree, Gregory Sell, Daniel Garcia-Romero

Multi-PLDA Diarization on Children’s Speech

Jiamin Xie, Leibny Paola García-Perera, Daniel Povey, Sanjeev Khudanpur

Who Said That?: Audio-Visual Speaker Diarisation of Real-World Meetings

Joon Son Chung, Bong-Jin Lee, Icksang Han

Qingjian Lin, Ruiqing Yin, Ming Li, Hervé Bredin, Claude Barras

Improving Aggregation and Loss Function for Better Embedding Learning in End-to-End Speaker Verification System

Zhifu Gao, Yan Song, Ian McLoughlin, Pengcheng Li, Yiheng Jiang

MCE 2018: The 1st Multi-Target Speaker Detection and Identification Challenge Evaluation

Suwon Shon, Najim Dehak, Douglas Reynolds, James Glass

Unleashing the Unused Potential of i-Vectors Enabled by GPU Acceleration

Ville Vestman, Kong Aik Lee, Tomi H. Kinnunen, Takafumi Koshinaka

Bayesian HMM Based x-Vector Clustering for Speaker Diarization

Mireia Diez, Lukas Burget, Shuai Wang, Johan Rohdin, Jan Černocký

How to Annotate 100 Hours in 45 Minutes

Per Fallgren, Zofia Malisz, Jens Edlund

Towards Variability Resistant Dialectal Speech Evaluation

Ahmed Ali, Salam Khalifa, Nizar Habash

NITK Kids’ Speech Corpus

Pravin Bhaskar Ramteke, Sujata Supanekar, Pradyoth Hegde, Hanna Nelson, Venkataraja Aithal

Challenging the Boundaries of Speech Recognition: The MALACH Corpus

Michael Picheny, Zoltán Tüske, Brian Kingsbury, Kartik Audhkhasi, Xiaodong Cui

Building the Singapore English National Speech Corpus

Jia Xin Koh, Aqilah Mislan, Kevin Khoo, Brian Ang, Wilson Ang

VESUS: A Crowd-Annotated Database to Study Emotion Production and Perception in Spoken English

Jacob Sager, Ravi Shankar, Jacob Reinhold, Archana Venkataraman

Towards the Prosody of Persuasion in Competitive Negotiation. The Relationship Between f0 and Negotiation Success in Same Sex Sales Tasks

Jan Michalsky, Heike Schoormann, Thomas Schultze