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ORCIDMichiel Bacchiani
Michiel Adriaan Unico Bacchiani
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2020 – today
- 2024
[i15]Min Ma, Yuma Koizumi, Shigeki Karita, Heiga Zen, Jason Riesa, Haruko Ishikawa, Michiel Bacchiani:
FLEURS-R: A Restored Multilingual Speech Corpus for Generation Tasks. CoRR abs/2408.06227 (2024)- 2023
- [c63]Yuma Koizumi, Heiga Zen
, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna:
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. INTERSPEECH 2023: 5496-5500 - [c62]Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani:
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. WASPAA 2023: 1-5 - [i14]Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Yu Zhang, Wei Han, Ankur Bapna, Michiel Bacchiani:
Miipher: A Robust Speech Restoration Model Integrating Self-Supervised Speech and Text Representations. CoRR abs/2303.01664 (2023) - [i13]Yuma Koizumi, Heiga Zen, Shigeki Karita, Yifan Ding, Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, Yu Zhang, Wei Han, Ankur Bapna:
LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus. CoRR abs/2305.18802 (2023) - 2022
- [c61]Yotaro Kubo, Shigeki Karita, Michiel Bacchiani:
Knowledge Transfer from Large-Scale Pretrained Language Models to End-To-End Speech Recognizers. ICASSP 2022: 8512-8516 - [c60]Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani:
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. INTERSPEECH 2022: 803-807 - [c59]Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. INTERSPEECH 2022: 1173-1177 - [c58]Yuma Koizumi, Kohei Yatabe, Heiga Zen, Michiel Bacchiani:
Wavefit: an Iterative and Non-Autoregressive Neural Vocoder Based on Fixed-Point Iteration. SLT 2022: 884-891 - [i12]Yotaro Kubo, Shigeki Karita, Michiel Bacchiani:
Knowledge Transfer from Large-scale Pretrained Language Models to End-to-end Speech Recognizers. CoRR abs/2202.07894 (2022) - [i11]Yuma Koizumi, Heiga Zen, Kohei Yatabe, Nanxin Chen, Michiel Bacchiani:
SpecGrad: Diffusion Probabilistic Model based Neural Vocoder with Adaptive Noise Spectral Shaping. CoRR abs/2203.16749 (2022) - [i10]Yuma Koizumi, Kohei Yatabe, Heiga Zen, Michiel Bacchiani:
WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration. CoRR abs/2210.01029 (2022) - 2021
- [c57]Shigeki Karita, Yotaro Kubo, Michiel Adriaan Unico Bacchiani, Llion Jones:
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition. Interspeech 2021: 2092-2096 - [c56]Yuma Koizumi, Shigeki Karita, Scott Wisdom, Hakan Erdogan, John R. Hershey, Llion Jones, Michiel Bacchiani:
DF-Conformer: Integrated Architecture of Conv-Tasnet and Conformer Using Linear Complexity Self-Attention for Speech Enhancement. WASPAA 2021: 161-165 - [i9]Shigeki Karita, Yotaro Kubo, Michiel Adriaan Unico Bacchiani, Llion Jones:
A Comparative Study on Neural Architectures and Training Methods for Japanese Speech Recognition. CoRR abs/2106.05111 (2021) - [i8]Yuma Koizumi, Shigeki Karita, Scott Wisdom, Hakan Erdogan, John R. Hershey, Llion Jones, Michiel Bacchiani:
DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement. CoRR abs/2106.15813 (2021) - [i7]Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani:
SNRi Target Training for Joint Speech Enhancement and Recognition. CoRR abs/2111.00764 (2021) - 2020
- [c55]Yotaro Kubo, Michiel Bacchiani:
Joint Phoneme-Grapheme Model for End-To-End Speech Recognition. ICASSP 2020: 6119-6123
2010 – 2019
- 2019
- [j7]Shinji Watanabe, Shoko Araki, Michiel Bacchiani, Reinhold Haeb-Umbach, Michael L. Seltzer:
Introduction to the Issue on Far-Field Speech Processing in the Era of Deep Learning: Speech Enhancement, Separation, and Recognition. IEEE J. Sel. Top. Signal Process. 13(4): 785-786 (2019) - [j6]Reinhold Haeb-Umbach, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Björn Hoffmeister, Michael L. Seltzer, Heiga Zen, Mehrez Souden:
Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques. IEEE Signal Process. Mag. 36(6): 111-124 (2019) - [i6]Jonathan Shen, Patrick Nguyen, Yonghui Wu, Zhifeng Chen, Mia Xu Chen, Ye Jia, Anjuli Kannan, Tara N. Sainath, Yuan Cao, Chung-Cheng Chiu, Yanzhang He, Jan Chorowski, Smit Hinsu, Stella Laurenzo, James Qin, Orhan Firat, Wolfgang Macherey, Suyog Gupta, Ankur Bapna, Shuyuan Zhang, Ruoming Pang, Ron J. Weiss, Rohit Prabhavalkar, Qiao Liang, Benoit Jacob, Bowen Liang, HyoukJoong Lee, Ciprian Chelba, Sébastien Jean, Bo Li, Melvin Johnson, Rohan Anil, Rajat Tibrewal, Xiaobing Liu, Akiko Eriguchi, Navdeep Jaitly, Naveen Ari, Colin Cherry, Parisa Haghani, Otavio Good, Youlong Cheng, Raziel Alvarez, Isaac Caswell, Wei-Ning Hsu, Zongheng Yang, Kuan-Chieh Wang, Ekaterina Gonina, Katrin Tomanek, Ben Vanik, Zelin Wu, Llion Jones, Mike Schuster, Yanping Huang, Dehao Chen, Kazuki Irie, George F. Foster, John Richardson, Klaus Macherey, Antoine Bruguier, Heiga Zen, Colin Raffel, Shankar Kumar, Kanishka Rao, David Rybach, Matthew Murray, Vijayaditya Peddinti, Maxim Krikun, Michiel Bacchiani, Thomas B. Jablin, Robert Suderman, Ian Williams, Benjamin Lee, Deepti Bhatia, Justin Carlson, Semih Yavuz, Yu Zhang, Ian McGraw, Max Galkin, Qi Ge, Golan Pundak, Chad Whipkey, Todd Wang, Uri Alon, Dmitry Lepikhin, Ye Tian, Sara Sabour, William Chan, Shubham Toshniwal, Baohua Liao, Michael Nirschl, Pat Rondon:
Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling. CoRR abs/1902.08295 (2019) - 2018
- [j5]Michiel Bacchiani, Eric Fosler-Lussier:
An Overview of the IEEE SPS Speech and Language Technical Committee [In the Spotlight]. IEEE Signal Process. Mag. 35(6): 125-126 (2018) - [c54]Bo Li, Tara N. Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yanghui Wu, Kanishka Rao:
Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model. ICASSP 2018: 4749-4753 - [c53]Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Ekaterina Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani:
State-of-the-Art Speech Recognition with Sequence-to-Sequence Models. ICASSP 2018: 4774-4778 - [c52]Ehsan Variani, Tom Bagby, Kamel Lahouel, Erik McDermott, Michiel Bacchiani:
Sampled Connectionist Temporal Classification. ICASSP 2018: 4959-4963 - [c51]Chanwoo Kim, Anjali Menon, Michiel Bacchiani, Richard M. Stern:
Sound Source Separation Using Phase Difference and Reliable Mask Selection Selection. ICASSP 2018: 5559-5563 - [c50]Chanwoo Kim, Tara N. Sainath, Arun Narayanan, Ananya Misra, Rajeev C. Nongpiur, Michiel Bacchiani:
Spectral Distortion Model for Training Phase-Sensitive Deep-Neural Networks for Far-Field Speech Recognition. ICASSP 2018: 5729-5733 - [c49]Jahn Heymann, Michiel Bacchiani, Tara N. Sainath:
Performance of Mask Based Statistical Beamforming in a Smart Home Scenario. ICASSP 2018: 6722-6726 - [c48]Khe Chai Sim, Arun Narayanan, Ananya Misra, Anshuman Tripathi, Golan Pundak, Tara N. Sainath, Parisa Haghani, Bo Li, Michiel Bacchiani:
Domain Adaptation Using Factorized Hidden Layer for Robust Automatic Speech Recognition. INTERSPEECH 2018: 892-896 - [c47]Chanwoo Kim, Ehsan Variani, Arun Narayanan, Michiel Bacchiani:
Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models. INTERSPEECH 2018: 3028-3032 - [c46]Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward Domain-Invariant Speech Recognition via Large Scale Training. SLT 2018: 441-447 - [c45]Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters:
From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding. SLT 2018: 720-726 - [i5]Arun Narayanan, Ananya Misra, Khe Chai Sim, Golan Pundak, Anshuman Tripathi, Mohamed Elfeky, Parisa Haghani, Trevor Strohman, Michiel Bacchiani:
Toward domain-invariant speech recognition via large scale training. CoRR abs/1808.05312 (2018) - [i4]Parisa Haghani, Arun Narayanan, Michiel Bacchiani, Galen Chuang, Neeraj Gaur, Pedro J. Moreno, Rohit Prabhavalkar, Zhongdi Qu, Austin Waters:
From Audio to Semantics: Approaches to end-to-end spoken language understanding. CoRR abs/1809.09190 (2018) - 2017
- [j4]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Bo Li, Arun Narayanan, Ehsan Variani, Michiel Bacchiani, Izhak Shafran, Andrew W. Senior, Kean K. Chin, Ananya Misra, Chanwoo Kim:
Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition. IEEE ACM Trans. Audio Speech Lang. Process. 25(5): 965-979 (2017) - [c44]Khe Chai Sim, Arun Narayanan, Tom Bagby, Tara N. Sainath, Michiel Bacchiani:
Improving the efficiency of forward-backward algorithm using batched computation in TensorFlow. ASRU 2017: 258-264 - [c43]Chanwoo Kim, Ananya Misra, Kean K. Chin, Thad Hughes, Arun Narayanan, Tara N. Sainath, Michiel Bacchiani:
Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home. INTERSPEECH 2017: 379-383 - [c42]Bo Li, Tara N. Sainath, Arun Narayanan, Joe Caroselli, Michiel Bacchiani, Ananya Misra, Izhak Shafran, Hasim Sak, Golan Pundak, Kean K. Chin, Khe Chai Sim, Ron J. Weiss, Kevin W. Wilson, Ehsan Variani, Chanwoo Kim, Olivier Siohan, Mitchel Weintraub, Erik McDermott, Richard Rose, Matt Shannon:
Acoustic Modeling for Google Home. INTERSPEECH 2017: 399-403 - [c41]Ehsan Variani, Tom Bagby, Erik McDermott, Michiel Bacchiani:
End-to-End Training of Acoustic Models for Large Vocabulary Continuous Speech Recognition with TensorFlow. INTERSPEECH 2017: 1641-1645 - [p2]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Bo Li, Ehsan Variani, Izhak Shafran, Andrew W. Senior, Kean K. Chin, Ananya Misra, Chanwoo Kim:
Raw Multichannel Processing Using Deep Neural Networks. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 105-133 - [p1]Michiel Bacchiani, Françoise Beaufays, Alexander Gruenstein, Pedro J. Moreno, Johan Schalkwyk, Trevor Strohman, Heiga Zen:
Speech Research at Google to Enable Universal Speech Interfaces. New Era for Robust Speech Recognition, Exploiting Deep Learning 2017: 385-399 - [i3]Bo Li, Tara N. Sainath, Khe Chai Sim, Michiel Bacchiani, Eugene Weinstein, Patrick Nguyen, Zhifeng Chen, Yonghui Wu, Kanishka Rao:
Multi-Dialect Speech Recognition With A Single Sequence-To-Sequence Model. CoRR abs/1712.01541 (2017) - [i2]Chung-Cheng Chiu, Tara N. Sainath, Yonghui Wu, Rohit Prabhavalkar, Patrick Nguyen, Zhifeng Chen, Anjuli Kannan, Ron J. Weiss, Kanishka Rao, Katya Gonina, Navdeep Jaitly, Bo Li, Jan Chorowski, Michiel Bacchiani:
State-of-the-art Speech Recognition With Sequence-to-Sequence Models. CoRR abs/1712.01769 (2017) - [i1]Chanwoo Kim, Ehsan Variani, Arun Narayanan, Michiel Bacchiani:
Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models. CoRR abs/1712.03439 (2017) - 2016
- [c40]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani:
Factored spatial and spectral multichannel raw waveform CLDNNs. ICASSP 2016: 5075-5079 - [c39]Ehsan Variani, Tara N. Sainath, Izhak Shafran, Michiel Bacchiani:
Complex Linear Projection (CLP): A Discriminative Approach to Joint Feature Extraction and Acoustic Modeling. INTERSPEECH 2016: 808-812 - [c38]Tara N. Sainath, Arun Narayanan, Ron J. Weiss, Ehsan Variani, Kevin W. Wilson, Michiel Bacchiani, Izhak Shafran:
Reducing the Computational Complexity of Multimicrophone Acoustic Models with Integrated Feature Extraction. INTERSPEECH 2016: 1971-1975 - [c37]Bo Li, Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Michiel Bacchiani:
Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition. INTERSPEECH 2016: 1976-1980 - 2015
- [c36]Tara N. Sainath, Ron J. Weiss, Kevin W. Wilson, Arun Narayanan, Michiel Bacchiani, Andrew W. Senior:
Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms. ASRU 2015: 30-36 - [c35]Hank Liao, Golan Pundak, Olivier Siohan, Melissa K. Carroll, Noah Coccaro, Qi-Ming Jiang, Tara N. Sainath, Andrew W. Senior, Françoise Beaufays, Michiel Bacchiani:
Large vocabulary automatic speech recognition for children. INTERSPEECH 2015: 1611-1615 - 2014
- [c34]Michiel Bacchiani, David Rybach:
Context dependent state tying for speech recognition using deep neural network acoustic models. ICASSP 2014: 230-234 - [c33]Georg Heigold, Erik McDermott, Vincent Vanhoucke, Andrew W. Senior, Michiel Bacchiani:
Asynchronous stochastic optimization for sequence training of deep neural networks. ICASSP 2014: 5587-5591 - [c32]Andrew W. Senior, Georg Heigold, Michiel Bacchiani, Hank Liao:
GMM-free DNN acoustic model training. ICASSP 2014: 5602-5606 - [c31]Erik McDermott, Georg Heigold, Pedro J. Moreno, Andrew W. Senior, Michiel Bacchiani:
Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data. INTERSPEECH 2014: 1224-1228 - [c30]Michiel Bacchiani, Andrew W. Senior, Georg Heigold:
Asynchronous, online, GMM-free training of a context dependent acoustic model for speech recognition. INTERSPEECH 2014: 1900-1904 - [c29]Chanwoo Kim, Kean K. Chin, Michiel Bacchiani, Richard M. Stern:
Robust speech recognition using temporal masking and thresholding algorithm. INTERSPEECH 2014: 2734-2738 - 2013
- [c28]Michiel Bacchiani:
Rapid adaptation for mobile speech applications. ICASSP 2013: 7903-7907 - [c27]Olivier Siohan, Michiel Bacchiani:
ivector-based acoustic data selection. INTERSPEECH 2013: 657-661 - 2011
- [j3]Zhu Liu, Michiel Bacchiani:
TechWare: Mobile Media Search Resources [Best of the Web]. IEEE Signal Process. Mag. 28(4): 142-145 (2011) - [c26]Christopher Alberti, Michiel Bacchiani:
Discriminative Features for Language Identification. INTERSPEECH 2011: 2917-2920 - 2010
- [c25]Hank Liao, Christopher Alberti, Michiel Bacchiani, Olivier Siohan:
Decision tree state clustering with word and syllable features. INTERSPEECH 2010: 2958-2961
2000 – 2009
- 2009
- [c24]Agustín Gravano, Martin Jansche, Michiel Bacchiani:
Restoring punctuation and capitalization in transcribed speech. ICASSP 2009: 4741-4744 - [c23]Christopher Alberti, Michiel Bacchiani, Ari Bezman, Ciprian Chelba, Anastassia Drofa, Hank Liao, Pedro J. Moreno, Ted Power, Arnaud Sahuguet, Maria Shugrina, Olivier Siohan:
An audio indexing system for election video material. ICASSP 2009: 4873-4876 - 2008
- [c22]Christian Gollan, Michiel Bacchiani:
Confidence scores for acoustic model adaptation. ICASSP 2008: 4289-4292 - [c21]Michiel Bacchiani, Françoise Beaufays, Johan Schalkwyk, Mike Schuster, Brian Strope:
Deploying GOOG-411: Early lessons in data, measurement, and testing. ICASSP 2008: 5260-5263 - 2006
- [j2]Michiel Bacchiani, Michael Riley, Brian Roark, Richard Sproat:
MAP adaptation of stochastic grammars. Comput. Speech Lang. 20(1): 41-68 (2006) - 2005
- [c20]Olivier Siohan, Michiel Bacchiani:
Fast vocabulary-independent audio search using path-based graph indexing. INTERSPEECH 2005: 53-56 - 2004
- [c19]Michiel Bacchiani, Brian Roark:
Meta-data conditional language modeling. ICASSP (1) 2004: 241-244 - [c18]Sameer Maskey, Michiel Bacchiani, Brian Roark, Richard Sproat:
Improved name recognition with meta-data dependent name networks. ICASSP (1) 2004: 789-792 - [c17]Michiel Bacchiani, Brian Roark, Murat Saraclar:
Language Model Adaptation with MAP Estimation and the Perceptron Algorithm. HLT-NAACL (Short Papers) 2004 - 2003
- [c16]Michiel Bacchiani, Brian Roark:
Unsupervised language model adaptation. ICASSP (1) 2003: 224-227 - [c15]Brian Roark, Michiel Bacchiani:
Supervised and unsupervised PCFG adaptation to novel domains. HLT-NAACL 2003 - 2002
- [c14]Steve Whittaker, Julia Hirschberg, Brian Amento, Litza A. Stark, Michiel Bacchiani, Philip L. Isenhour, Larry Stead, Gary Zamchick, Aaron E. Rosenberg:
SCANMail: a voicemail interface that makes speech browsable, readable and searchable. CHI 2002: 275-282 - [c13]Michiel Bacchiani:
Combining maximum likelihood and maximum a posteriori estimation for detailed acoustic modeling of context dependency. INTERSPEECH 2002: 2593-2596 - 2001
- [c12]Michiel Bacchiani:
Automatic transcription of voicemail at AT&T. ICASSP 2001: 25-28 - [c11]Julia Hirschberg, Michiel Bacchiani, Donald Hindle, Philip L. Isenhour, Aaron E. Rosenberg, Litza A. Stark, Larry Stead, Steve Whittaker, Gary Zamchick:
SCANMail: browsing and searching speech data by content. INTERSPEECH 2001: 1299-1302 - [c10]Aaron E. Rosenberg, Julia Hirschberg, Michiel Bacchiani, Sarangarajan Parthasarathy, Philip L. Isenhour, Larry Stead:
Caller identification for the SCANMail voicemail browser. INTERSPEECH 2001: 2373-2376 - [c9]Michiel Bacchiani, Julia Hirschberg, Aaron E. Rosenberg, Steve Whittaker, Donald Hindle, Philip L. Isenhour, Matt Jones, Litza A. Stark, Gary Zamchick:
SCANMail: Audio Navigation in the Voicemail Domain. HLT 2001 - [c8]Julia Hirschberg, Michiel Bacchiani, Philip L. Isenhour:
Audio Browsing and Search in the Voicemail Domain. NLPRS 2001: 3-8 - 2000
- [c7]Michiel Bacchiani:
Using maximum likelihood linear regression for segment clustering and speaker identification. INTERSPEECH 2000: 536-539
1990 – 1999
- 1999
- [j1]Michiel Bacchiani, Mari Ostendorf:
Joint lexicon, acoustic unit inventory and model design. Speech Commun. 29(2-4): 99-114 (1999) - [c6]Amit Singhal, Steven P. Abney, Michiel Bacchiani, Michael Collins, Donald Hindle, Fernando C. N. Pereira:
AT&T at TREC-8. TREC 1999 - 1998
- [c5]Michiel Bacchiani, Mari Ostendorf:
Using automatically-derived acoustic sub-word units in large vocabulary speech recognition. ICSLP 1998 - 1996
- [c4]Michiel Bacchiani, Mari Ostendorf, Yoshinori Sagisaka, Kuldip K. Paliwal:
Design of a speech recognition system based on acoustically derived segmental units. ICASSP 1996: 443-446 - [c3]Toshiaki Fukada, Michiel Bacchiani, Kuldip K. Paliwal, Yoshinori Sagisaka:
Speech recognition based on acoustically derived segment units. ICSLP 1996: 1077-1080 - 1995
- [c2]Kuldip K. Paliwal, Michiel Bacchiani, Yoshinori Sagisaka:
Minimum classification error training algorithm for feature extractor and pattern classifier in speech recognition. EUROSPEECH 1995: 541-544 - 1994
- [c1]Michiel Bacchiani, Kiyoaki Aikawa:
Optimization of time-frequency masking filters using the minimum classification error criterion. ICASSP (2) 1994: 197-200
Coauthor Index
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