World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
36
Citations
11819
World Ranking
10977
National Ranking
4565

Overview

Hasim Sak is affiliated with Google in the United States and has contributed extensively to the field of computer science, particularly focusing on speech and audio processing. Their scholarly work encompasses areas such as speech recognition and synthesis, signal processing, and artificial intelligence.

The primary fields of study represented in their work include:

  • Computer Science

More specific subfields covered are:

  • Signal Processing
  • Artificial Intelligence

The main research topics Hasim Sak has engaged in are:

  • Speech Recognition and Synthesis
  • Speech and Audio Processing
  • Music and Audio Processing
  • Hate Speech and Cyberbullying Detection

The scientist has published multiple papers in prominent venues, with a notable presence in:

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

Recent publications include:

  • Turn-to-Diarize: Online Speaker Diarization Constrained by Transformer Transducer Speaker Turn Detection (2022) at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Transformer Transducer: One Model Unifying Streaming and Non-streaming Speech Recognition (2020) at arXiv (Cornell University)
  • Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss (2020) at arXiv (Cornell University)
  • Contrastive Siamese Network for Semi-Supervised Speech Recognition (2022) at ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP)
  • Reducing Streaming ASR Model Delay with Self Alignment (2021) at arXiv (Cornell University)

Frequent collaborators with whom Hasim Sak has co-authored multiple publications include:

  • Anshuman Tripathi
  • Lu Han
  • Jaeyoung Kim
  • Qian Zhang
  • Soheil Khorram

Best Publications

  • Long Short-Term Memory Recurrent Neural Network Architectures for Large Scale Acoustic Modeling

    Hasim Sak;Andrew W. Senior;Françoise Beaufays

  • Convolutional, Long Short-Term Memory, fully connected Deep Neural Networks

    Tara N. Sainath;Oriol Vinyals;Andrew Senior;Hasim Sak

  • Long Short-Term Memory Based Recurrent Neural Network Architectures for Large Vocabulary Speech Recognition

    Hasim Sak;Andrew W. Senior;Françoise Beaufays

  • Fast and Accurate Recurrent Neural Network Acoustic Models for Speech Recognition

    Hasim Sak;Andrew W. Senior;Kanishka Rao;Françoise Beaufays

  • Transformer Transducer: A Streamable Speech Recognition Model with Transformer Encoders and RNN-T Loss

    Qian Zhang;Han Lu;Hasim Sak;Anshuman Tripathi

  • Exploring architectures, data and units for streaming end-to-end speech recognition with RNN-transducer

    Kanishka Rao;Hasim Sak;Rohit Prabhavalkar

  • Unidirectional long short-term memory recurrent neural network with recurrent output layer for low-latency speech synthesis

    Heiga Zen;Hasim Sak

  • Neural Speech Recognizer: Acoustic-to-Word LSTM Model for Large Vocabulary Speech Recognition

    Hagen Soltau;Hank Liao;Hasim Sak

  • Grapheme-to-phoneme conversion using Long Short-Term Memory recurrent neural networks

    Kanishka Rao;Fuchun Peng;Hasim Sak;Francoise Beaufays

  • Learning acoustic frame labeling for speech recognition with recurrent neural networks

    Hasim Sak;Andrew Senior;Kanishka Rao;Ozan Irsoy

  • Automatic Language Identification using Long Short-Term Memory Recurrent Neural Networks

    Javier Gonzalez-Dominguez;Ignacio Lopez-Moreno;Hasim Sak;Joaquin Gonzalez-Rodriguez

  • Personalized speech recognition on mobile devices

    Ian McGraw;Rohit Prabhavalkar;Raziel Alvarez;Montse Gonzalez Arenas

  • Turkish Language Resources: Morphological Parser, Morphological Disambiguator and Web Corpus

    Haşim Sak;Tunga Güngör;Murat Saraçlar

  • Acoustic Modeling for Google Home

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

  • Sequence Discriminative Distributed Training of Long Short-Term Memory Recurrent Neural Networks

    Hasim Sak;Oriol Vinyals;Georg Heigold;Andrew W. Senior

  • Acoustic modelling with CD-CTC-SMBR LSTM RNNS

    Andrew;Hasim Sak;Felix de Chaumont Quitry;Tara Sainath

  • Large-Scale Visual Speech Recognition

    Brendan Shillingford;Yannis M. Assael;Matthew W. Hoffman;Thomas Paine

  • Turkish Broadcast News Transcription and Retrieval

    E. Arisoy;D. Can;S. Parlak;H. Sak

  • Morphological Disambiguation of Turkish Text with Perceptron Algorithm

    Haşim Sak;Tunga Güngör;Murat Saraçlar

  • Recurrent Neural Aligner: An Encoder-Decoder Neural Network Model for Sequence to Sequence Mapping.

    Haşim Sak;Matt Shannon;Kanishka Rao;Françoise Beaufays

Frequent Co-Authors

Andrew W. Senior
Andrew W. Senior Google (United States)
Francoise Beaufays
Francoise Beaufays Google (United States)
Murat Saraclar
Murat Saraclar Boğaziçi University
Hagen Soltau
Hagen Soltau Google (United States)
Rohit Prabhavalkar
Rohit Prabhavalkar Google (United States)
Tara N. Sainath
Tara N. Sainath Google (United States)
Navdeep Jaitly
Navdeep Jaitly Google (United States)
Nando de Freitas
Nando de Freitas DeepMind (United Kingdom)
Patrick Nguyen
Patrick Nguyen Google (United States)
Pedro J. Moreno
Pedro J. Moreno Google (United States)

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