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D-Index & Metrics

Computer Science

D-Index
36
Citations
5559
World Ranking
11258
National Ranking
4648

Overview

Michiel Bacchiani is affiliated with Google in the United States. Their research primarily focuses on areas within Computer Science, including Artificial Intelligence, Signal Processing, Electrical and Electronic Engineering, and Experimental and Cognitive Psychology.

The scientist's work covers several main topics, including:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Natural Language Processing Techniques
  • Music and Audio Processing
  • Topic Modeling
  • Indoor and Outdoor Localization Technologies
  • Phonetics and Phonology Research

Michiel Bacchiani has published extensively, with notable recent papers including:

  • 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)
  • SNRi Target Training for Joint Speech Enhancement and Recognition, 2022, Interspeech 2022
  • DF-Conformer: Integrated architecture of Conv-TasNet and Conformer using linear complexity self-attention for speech enhancement, 2021, arXiv (Cornell University)
  • SNRi Target Training for Joint Speech Enhancement and Recognition, 2021, arXiv (Cornell University)
  • WaveFit: An Iterative and Non-autoregressive Neural Vocoder based on Fixed-Point Iteration, 2022, arXiv (Cornell University)

The venues where Michiel Bacchiani frequently publishes include:

  • arXiv (Cornell University)
  • ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Interspeech 2022

Frequent co-authors working alongside Michiel Bacchiani are:

  • Shigeki Karita
  • Yuma Koizumi
  • Heiga Zen
  • Yotaro Kubo
  • Kohei Yatabe

Best Publications

  • State-of-the-Art Speech Recognition with Sequence-to-Sequence Models

    Chung-Cheng Chiu;Tara N. Sainath;Yonghui Wu;Rohit Prabhavalkar

  • Multichannel Signal Processing With Deep Neural Networks for Automatic Speech Recognition

    Tara N. Sainath;Ron J. Weiss;Kevin W. Wilson;Bo Li

  • Lingvo: a Modular and Scalable Framework for Sequence-to-Sequence Modeling

    Jonathan Shen;Patrick Nguyen;Yonghui Wu;Zhifeng Chen

  • Generation of large-scale simulated utterances in virtual rooms to train deep-neural networks for far-field speech recognition in Google Home

    Chanwoo Kim;Ananya Misra;Kean K. Chin;Thad Hughes

  • Unsupervised language model adaptation

    M. Bacchiani;B. Roark

  • Acoustic Modeling for Google Home

    Bo Li;Tara N. Sainath;Arun Narayanan;Joe Caroselli

  • Speech Processing for Digital Home Assistants: Combining signal processing with deep-learning techniques

    Reinhold Haeb-Umbach;Shinji Watanabe;Tomohiro Nakatani;Michiel Bacchiani

  • Restoring punctuation and capitalization in transcribed speech

    Agustin Gravano;Martin Jansche;Michiel Bacchiani

  • SCANMail: a voicemail interface that makes speech browsable, readable and searchable

    Steve Whittaker;Julia Hirschberg;Brian Amento;Litza Stark

  • From Audio to Semantics: Approaches to End-to-End Spoken Language Understanding

    Parisa Haghani;Arun Narayanan;Michiel Bacchiani;Galen Chuang

  • Neural Network Adaptive Beamforming for Robust Multichannel Speech Recognition

    Bo Li;Tara N. Sainath;Ron J. Weiss;Kevin W. Wilson

  • Multi-Dialect Speech Recognition with a Single Sequence-to-Sequence Model

    Bo Li;Tara N. Sainath;Khe Chai Sim;Michiel Bacchiani

  • Large Vocabulary Automatic Speech Recognition for Children

    Hank Liao;Golan Pundak;Olivier Siohan;Melissa K. Carroll

  • Supervised and unsupervised PCFG adaptation to novel domains

    Brian Roark;Michiel Bacchiani

  • Processing multi-channel audio waveforms

    Tara N. Sainath;Ron J. Weiss;Kevin William Wilson;Andrew W. Senior

  • Toward Domain-Invariant Speech Recognition via Large Scale Training

    Arun Narayanan;Ananya Misra;Khe Chai Sim;Golan Pundak

  • MAP adaptation of stochastic grammars

    Michiel Bacchiani;Michael Riley;Brian Roark;Richard Sproat

  • AT&T at TREC-8.

    Amit Singhal;Steven P. Abney;Michiel Bacchiani;Michael Collins

  • Speaker location and microphone spacing invariant acoustic modeling from raw multichannel waveforms

    Tara N. Sainath;Ron J. Weiss;Kevin W. Wilson;Arun Narayanan

  • Fast Vocabulary-Independent Audio Search Using Path-Based Graph Indexing

    Olivier Siohan;Michiel Bacchiani

  • An audio indexing system for election video material

    Christopher Alberti;Michiel Bacchiani;Ari Bezman;Ciprian Chelba

Frequent Co-Authors

Tara N. Sainath
Tara N. Sainath Google (United States)
Andrew W. Senior
Andrew W. Senior Google (United States)
Mari Ostendorf
Mari Ostendorf University of Washington
Georg Heigold
Georg Heigold German Research Centre for Artificial Intelligence
Rohit Prabhavalkar
Rohit Prabhavalkar Google (United States)
Pedro J. Moreno
Pedro J. Moreno Google (United States)
Patrick Nguyen
Patrick Nguyen Google (United States)
Julia Hirschberg
Julia Hirschberg Columbia University
Brian Roark
Brian Roark Google (United States)

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