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Niko Moritz

Niko Moritz
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  • 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

    •  Khurana, S., Moritz, N., Hori, T., Le Roux, J., "Unsupervised Domain Adaptation for Speech Recognition Via Uncertainty Driven Self-Training", arXiv, December 2020.
      BibTeX arXiv
      • @article{Khurana2020dec,
      • author = {Khurana, Sameer and Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Unsupervised Domain Adaptation for Speech Recognition Via Uncertainty Driven Self-Training},
      • journal = {arXiv},
      • year = 2020,
      • month = dec,
      • url = {https://arxiv.org/abs/2011.13439}
      • }
    •  Moritz, N., Hori, T., Le Roux, J., "Semi-Supervised Speech Recognition Via Graph-Based Temporal Classification", arXiv, October 2020.
      BibTeX arXiv
      • @article{Moritz2020oct2,
      • author = {Moritz, Niko and Hori, Takaaki and Le Roux, Jonathan},
      • title = {Semi-Supervised Speech Recognition Via Graph-Based Temporal Classification},
      • journal = {arXiv},
      • year = 2020,
      • month = oct,
      • url = {https://arxiv.org/abs/2010.15653}
      • }
    •  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), DOI: 10.21437/Interspeech.2020-2757, October 2020, pp. 3112-3116.
      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,
      • pages = {3112--3116},
      • month = oct,
      • doi = {10.21437/Interspeech.2020-2757},
      • issn = {1990-9772},
      • url = {https://www.merl.com/publications/TR2020-138}
      • }
    •  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), DOI: 10.21437/Interspeech.2020-2928, October 2020, pp. 5011-5015.
      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,
      • pages = {5011--5015},
      • month = oct,
      • doi = {10.21437/Interspeech.2020-2928},
      • issn = {1990-9772},
      • url = {https://www.merl.com/publications/TR2020-139}
      • }
    •  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}
      • }
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  • Videos