Niko Moritz

Niko Moritz
  • Biography

    Niko's research interests are in automatic speech recognition and machine learning with application to acoustic events and speech. Prior to joining MERL in 2018, Niko spent 9 years at the Hearing, Speech and Audio (HSA) Technology branch of the Fraunhofer IDMT in Oldenburg (Germany) doing R&D to build automatic speech recognition systems.

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  • Research Highlights

  • MERL Publications

    •  Hori, T., Moritz, N., Hori, C., Le Roux, J., "Transformer-based Long-context End-to-end Speech Recognition", Annual Conference of the International Speech Communication Association (Interspeech), October 2020.
      BibTeX TR2020-139 PDF
      • @inproceedings{Hori2020oct,
      • author = {Hori, Takaaki and Moritz, Niko and Hori, Chiori and Le Roux, Jonathan},
      • title = {Transformer-based Long-context End-to-end Speech Recognition},
      • booktitle = {Annual Conference of the International Speech Communication Association (Interspeech)},
      • year = 2020,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2020-139}
      • }
    •  Moritz, N., Wichern, G., Hori, T., Le Roux, J., "All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection", Annual Conference of the International Speech Communication Association (Interspeech), October 2020.
      BibTeX TR2020-138 PDF
      • @inproceedings{Moritz2020oct,
      • author = {Moritz, Niko and Wichern, Gordon and Hori, Takaaki and Le Roux, Jonathan},
      • title = {All-in-One Transformer: Unifying Speech Recognition, Audio Tagging, and Event Detection},
      • booktitle = {Annual Conference of the International Speech Communication Association (Interspeech)},
      • year = 2020,
      • month = oct,
      • url = {https://www.merl.com/publications/TR2020-138}
      • }
    •  Sari, L., Moritz, N., Hori, T., Le Roux, J., "Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory For End-To-End ASR", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9054249, April 2020, pp. 7384-7388.
      BibTeX TR2020-037 PDF Video
      • @inproceedings{Sari2020apr,
      • author = {Sari, Leda and Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Unsupervised Speaker Adaptation Using Attention-Based Speaker Memory For End-To-End ASR},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {7384--7388},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9054249},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-037}
      • }
    •  Moritz, N., Hori, T., Le Roux, J., "Streaming Automatic Speech Recognition With The Transformer Model", IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), DOI: 10.1109/ICASSP40776.2020.9054476, April 2020, pp. 6074-6078.
      BibTeX TR2020-040 PDF Video
      • @inproceedings{Moritz2020apr,
      • author = {Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Streaming Automatic Speech Recognition With The Transformer Model},
      • booktitle = {IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP)},
      • year = 2020,
      • pages = {6074--6078},
      • month = apr,
      • publisher = {IEEE},
      • doi = {10.1109/ICASSP40776.2020.9054476},
      • issn = {2379-190X},
      • isbn = {978-1-5090-6631-5},
      • url = {https://www.merl.com/publications/TR2020-040}
      • }
    •  Moritz, N., Hori, T., Le Roux, J., "Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models", IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU), December 2019, pp. 936-943.
      BibTeX TR2019-159 PDF
      • @inproceedings{Moritz2019dec,
      • author = {Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Streaming End-to-End Speech Recognition with Joint CTC-Attention Based Models},
      • booktitle = {IEEE Workshop on Automatic Speech Recognition and Understanding (ASRU)},
      • year = 2019,
      • pages = {936--943},
      • month = dec,
      • isbn = {978-1-7281-0305-1},
      • url = {https://www.merl.com/publications/TR2019-159}
      • }
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  • Videos