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Marco Tagliasacchi

Marco Tagliasacchi

D-Index & Metrics

Computer Science

D-Index
43
Citations
8731
World Ranking
7924
National Ranking
147

Overview

Marco Tagliasacchi is a researcher affiliated with Google (Switzerland), based in Switzerland. Their primary field of study is Computer Science, with a strong focus on Signal Processing, Artificial Intelligence, and related subfields. They contribute actively to research areas including Speech Recognition and Synthesis, Speech and Audio Processing, Music and Audio Processing, and Natural Language Processing Techniques.

Their most frequent co-authors include Zalán Borsos, Neil Zeghidour, Matt Sharifi, Eugene Kharitonov, and Félix de Chaumont Quitry. These collaborations reflect a network concentrated in audio and speech technology research.

Marco Tagliasacchi has been published extensively in venues such as arXiv (Cornell University), IEEE Signal Processing Letters, Interspeech, IEEE/ACM Transactions on Audio Speech and Language Processing, and the Transactions of the Association for Computational Linguistics.

Recent papers by Marco Tagliasacchi include:

  • AudioLM: A Language Modeling Approach to Audio Generation, 2023, IEEE/ACM Transactions on Audio Speech and Language Processing
  • MuChoMusic dataset, 2024, arXiv (Cornell University)
  • Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision, 2023, Transactions of the Association for Computational Linguistics
  • Pre-Training Audio Representations With Self-Supervision, 2020, IEEE Signal Processing Letters
  • AudioPaLM: A Large Language Model That Can Speak and Listen, 2023, arXiv (Cornell University)

The topics covered in these publications emphasize speech and audio processing, as well as advances in machine learning techniques applied to audio generation and synthesis. These works illustrate involvement with cutting-edge studies in high-fidelity text-to-speech systems, self-supervised representation learning, and language modeling applied to audio data.

Best Publications

  • Gemini 1.5: Unlocking multimodal understanding across millions of tokens of context

    Unknown

  • AudioLM: A Language Modeling Approach to Audio Generation

    Unknown

  • Scream and gunshot detection and localization for audio-surveillance systems

    G. Valenzise;L. Gerosa;M. Tagliasacchi;F. Antonacci

  • An overview on video forensics

    P. Bestagini;K. M. Fontani;S. Milani;M. Barni

  • Deep Convolutional Neural Networks for pedestrian detection

    D. Tomè;F. Monti;L. Baroffio;L. Bondi

  • An integrated system based on wireless sensor networks for patient monitoring, localization and tracking

    Alessandro Redondi;Marco Chirico;Luca Borsani;Matteo Cesana

  • Subjective assessment of H.264/AVC video sequences transmitted over a noisy channel

    F. De Simone;M. Naccari;M. Tagliasacchi;F. Dufaux

  • Local tampering detection in video sequences

    Paolo Bestagini;Simone Milani;Marco Tagliasacchi;Stefano Tubaro

  • A H.264/AVC video database for the evaluation of quality metrics

    F. De Simone;M. Tagliasacchi;M. Naccari;S. Tubaro

  • Scream and gunshot detection in noisy environments

    L. Gerosa;G. Valenzise;M. Tagliasacchi;F. Antonacci

  • Towards Learning a Universal Non-Semantic Representation of Speech.

    Joel Shor;Aren Jansen;Ronnie Maor;Oran Lang

  • Speak, Read and Prompt: High-Fidelity Text-to-Speech with Minimal Supervision

    Unknown

  • Evaluation of low-complexity visual feature detectors and descriptors

    A. Canclini;M. Cesana;A. Redondi;M. Tagliasacchi

  • A visual sensor network for parking lot occupancy detection in Smart Cities

    Luca Baroffio;Luca Bondi;Matteo Cesana;Alessandro Enrico Redondi

  • No-Reference Video Quality Monitoring for H.264/AVC Coded Video

    M. Naccari;M. Tagliasacchi;S. Tubaro

  • Hash-Based Identification of Sparse Image Tampering

    M. Tagliasacchi;G. Valenzise;S. Tubaro

  • AudioPaLM: A Large Language Model That Can Speak and Listen

    Unknown

  • Countering JPEG anti-forensics

    G. Valenzise;V. Nobile;M. Tagliasacchi;S. Tubaro

  • Revealing the Traces of JPEG Compression Anti-Forensics

    G. Valenzise;M. Tagliasacchi;S. Tubaro

  • Compress-then-analyze vs. analyze-then-compress: Two paradigms for image analysis in visual sensor networks

    Alessandro Redondi;Luca Baroffio;Matteo Cesana;Marco Tagliasacchi

  • Top-k bounded diversification

    Piero Fraternali;Davide Martinenghi;Marco Tagliasacchi

  • Video codec identification

    P. Bestagini;A. Allam;S. Milani;M. Tagliasacchi

  • Ranking with uncertain scoring functions: semantics and sensitivity measures

    Mohamed A. Soliman;Ihab F. Ilyas;Davide Martinenghi;Marco Tagliasacchi

  • Discriminating multiple JPEG compression using first digit features

    Simone Milani;Marco Tagliasacchi;Stefano Tubaro

Frequent Co-Authors

Stefano Tubaro
Stefano Tubaro Polytechnic University of Milan
Matteo Cesana
Matteo Cesana Polytechnic University of Milan
Piero Fraternali
Piero Fraternali Polytechnic University of Milan
Augusto Sarti
Augusto Sarti Polytechnic University of Milan
Paolo Bestagini
Paolo Bestagini Polytechnic University of Milan
Stefano Ceri
Stefano Ceri Polytechnic University of Milan
Marco Brambilla
Marco Brambilla Polytechnic University of Milan
Pier Luigi Dragotti
Pier Luigi Dragotti Imperial College London
Ihab F. Ilyas
Ihab F. Ilyas University of Waterloo
Anderson Rocha
Anderson Rocha State University of Campinas

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