Michiel Bacchiani

3.4k total citations
66 papers, 1.9k citations indexed

About

Michiel Bacchiani is a scholar working on Artificial Intelligence, Signal Processing and Computer Vision and Pattern Recognition. According to data from OpenAlex, Michiel Bacchiani has authored 66 papers receiving a total of 1.9k indexed citations (citations by other indexed papers that have themselves been cited), including 60 papers in Artificial Intelligence, 38 papers in Signal Processing and 6 papers in Computer Vision and Pattern Recognition. Recurrent topics in Michiel Bacchiani's work include Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (33 papers) and Music and Audio Processing (26 papers). Michiel Bacchiani is often cited by papers focused on Speech Recognition and Synthesis (50 papers), Speech and Audio Processing (33 papers) and Music and Audio Processing (26 papers). Michiel Bacchiani collaborates with scholars based in United States, Japan and Germany. Michiel Bacchiani's co-authors include Brian Roark, Tara N. Sainath, Arun Narayanan, Kevin Wilson, Olivier Siohan, K. K. Chin, Ananya Misra, Andrew Senior, Mari Ostendorf and Ehsan Variani and has published in prestigious journals such as IEEE Signal Processing Magazine, Speech Communication and IEEE/ACM Transactions on Audio Speech and Language Processing.

In The Last Decade

Michiel Bacchiani

65 papers receiving 1.6k citations

Peers

Countries citing papers authored by Michiel Bacchiani

Since Specialization

Citations

This map shows the geographic impact of Michiel Bacchiani's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Michiel Bacchiani with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Michiel Bacchiani more than expected).

Fields of papers citing papers by Michiel Bacchiani

Since Specialization

Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Michiel Bacchiani. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Michiel Bacchiani. The network helps show where Michiel Bacchiani may publish in the future.

Co-authorship network of co-authors of Michiel Bacchiani

This figure shows the co-authorship network connecting the top 25 collaborators of Michiel Bacchiani. A scholar is included among the top collaborators of Michiel Bacchiani based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Michiel Bacchiani. Michiel Bacchiani is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

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20 of 20 papers shown

#	Work	Indexed citations
1	LibriTTS-R: A Restored Multi-Speaker Text-to-Speech Corpus 2023 ·Yuma Koizumi, Heiga Zen, Shigeki Karita, (unknown), Kohei Yatabe, Nobuyuki Morioka, Michiel Bacchiani, (unknown), Wei Han, Ankur Bapna	31
2	Knowledge Transfer from Large-Scale Pretrained Language Models to End-To-End Speech Recognizers 2022 ·ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP) ·(unknown), Shigeki Karita, Michiel Bacchiani	13
3	SNRi Target Training for Joint Speech Enhancement and Recognition 2022 ·Interspeech 2022 ·Yuma Koizumi, Shigeki Karita, Arun Narayanan, Sankaran Panchapagesan, Michiel Bacchiani	7
4	Joint Phoneme-Grapheme Model for End-To-End Speech Recognition 2020 ·(unknown), Michiel Bacchiani	8
5	Speech Processing for Digital Home Assistants: Combining Signal Processing With Deep-Learning Techniques 2019 ·IEEE Signal Processing Magazine ·Reinhold Haeb‐Umbach, Shinji Watanabe, Tomohiro Nakatani, Michiel Bacchiani, Björn Hoffmeister, Michael L. Seltzer, Heiga Zen, Mehrez Souden	101
6	Performance of Mask Based Statistical Beamforming in a Smart Home Scenario 2018 ·Jahn Heymann, Michiel Bacchiani, Tara N. Sainath	23
7	Efficient Implementation of the Room Simulator for Training Deep Neural Network Acoustic Models 2018 ·Chanwoo Kim, Ehsan Variani, Arun Narayanan, Michiel Bacchiani	10
8	Generation of Large-Scale Simulated Utterances in Virtual Rooms to Train Deep-Neural Networks for Far-Field Speech Recognition in Google Home 2017 ·Chanwoo Kim, Ananya Misra, K. K. Chin, T. A. Hughes, Arun Narayanan, Tara N. Sainath, Michiel Bacchiani	144
9	Large vocabulary automatic speech recognition for children 2015 ·Hank Liao, Golan Pundak, Olivier Siohan, (unknown), Noah Coccaro, (unknown), Tara N. Sainath, Andrew Senior, Françoise Beaufays, Michiel Bacchiani	76
10	Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms 2015 ·Tara N. Sainath, Ron J. Weiss, Kevin Wilson, Arun Narayanan, Michiel Bacchiani, Andrew	32
11	Asynchronous stochastic optimization for sequence training of deep neural networks: towards big data 2014 ·Erik McDermott, Georg Heigold, Pedro J. Moreno, Andrew Senior, Michiel Bacchiani	6
12	Context dependent state tying for speech recognition using deep neural network acoustic models 2014 ·Michiel Bacchiani, David Rybach	14
13	GMM-free DNN acoustic model training 2014 ·Andrew Senior, Georg Heigold, Michiel Bacchiani, Hank Liao	17
14	ivector-based acoustic data selection 2013 ·Olivier Siohan, Michiel Bacchiani	11
15	Confidence scores for acoustic model adaptation 2008 ·Proceedings of the ... IEEE International Conference on Acoustics, Speech, and Signal Processing ·Christian Gollan, Michiel Bacchiani	17
16	Language model adaptation with MAP estimation and the perceptron algorithm 2004 ·Michiel Bacchiani, Brian Roark, Murat Saraçlar	21
17	Optimization of time-frequency masking filters using the minimum classification error criterion 2002 ·Michiel Bacchiani, Kazuhiko Aikawa	5
18	Design of a speech recognition system based on acoustically derived segmental units 2002 ·Griffith Research Online (Griffith University, Queensland, Australia) ·Michiel Bacchiani, (unknown), Yoshinori Sagisaka, Kuldip K. Paliwal	6
19	SCANMail 2001 ·Michiel Bacchiani, Julia Hirschberg, A. E. Rosenberg, Steve Whittaker, Donald Hindle, (unknown), Mark A. Jones, (unknown), (unknown)	13
20	AT&T at TREC-8. 1999 ·Text REtrieval Conference ·Amit Singhal, Steven Abney, Michiel Bacchiani, Michael R. Collins, Donald Hindle, Fernando C. N. Pereira	33

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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