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Matsoukas, Spyros
40  Ergebnisse:
Personensuche X
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1

Federated Self-Supervised Learning for Acoustic Event Class..:

, In: ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Feng, Meng ; Kao, Chieh-Chi ; Tang, Qingming... - p. 481-485 , 2022
Link: https://doi.org/10.1109/..
 
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2

Few-Shot Acoustic Event Detection Via Meta Learning:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Shi, Bowen ; Sun, Ming ; Puvvada, Krishna C.... - p. 76-80 , 2020
Link: https://doi.org/10.1109/..
 
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3

Towards Data-Efficient Modeling for Wake Word Spotting:

, In: ICASSP 2020 - 2020 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP),
Gao, Yixin ; Mishchenko, Yuriy ; Shah, Anish.. - p. 7479-7483 , 2020
Link: https://doi.org/10.1109/..
 
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4

Low-Bit Quantization and Quantization-Aware Training for Sm..:

, In: 2019 18th IEEE International Conference On Machine Learning And Applications (ICMLA),
Mishchenko, Yuriy ; Goren, Yusuf ; Sun, Ming... - p. 706-711 , 2019
Link: https://doi.org/10.1109/..
 
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5

Methods for integrating rule-based and statistical systems ..:

Zbib, Rabih ; Kayser, Michael ; Matsoukas, Spyros...
Machine Translation.  26 (2012)  1/2 - p. 67-83 , 2012
Link: https://www.jstor.org/st..
 
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6

Methods for integrating rule-based and statistical systems ..:

Zbib, Rabih ; Kayser, Michael ; Matsoukas, Spyros...
Machine Translation.  26 (2011)  1-2 - p. 67-83 , 2011
Link: https://doi.org/10.1007/..
 
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7

Progress in transcription of Broadcast News using Byblos:

Nguyen, Long ; Matsoukas, Spyros ; Davenport, Jason...
Speech Communication.  38 (2002)  1-2 - p. 213-230 , 2002
Link: https://doi.org/10.1016/..
 
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8

Toward More Accurate and Generalizable Evaluation Metrics f..:

Komma, Abishek ; Chandrasekarasastry, Nagesh Panyam ; Leffel, Timothy...
http://arxiv.org/abs/2306.03984.  , 2023
Link: http://arxiv.org/abs/230..
 
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9

Federated Self-Supervised Learning for Acoustic Event Class..:

Feng, Meng ; Kao, Chieh-Chi ; Tang, Qingming...
http://arxiv.org/abs/2203.11997.  , 2022
Link: http://arxiv.org/abs/220..
 
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10

Impact of Acoustic Event Tagging on Scene Classification in..:

Parikh, Rahil ; Sundar, Harshavardhan ; Sun, Ming..
http://arxiv.org/abs/2206.13476.  , 2022
Link: http://arxiv.org/abs/220..
 
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11

Contrastive Unsupervised Learning for Speech Emotion Recogn..:

Li, Mao ; Yang, Bo ; Levy, Joshua...
http://arxiv.org/abs/2102.06357.  , 2021
Link: http://arxiv.org/abs/210..
 
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12

Neural model robustness for skill routing in large-scale co..:

Li, Han ; Park, Sunghyun ; Dara, Aswarth...
http://arxiv.org/abs/2103.03373.  , 2021
Link: http://arxiv.org/abs/210..
 
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13

Few-shot acoustic event detection via meta-learning:

Shi, Bowen ; Sun, Ming ; Puvvada, Krishna C...
http://arxiv.org/abs/2002.09143.  , 2020
Link: http://arxiv.org/abs/200..
 
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14

Towards Data-efficient Modeling for Wake Word Spotting:

Gao, Yixin ; Mishchenko, Yuriy ; Shah, Anish..
http://arxiv.org/abs/2010.06659.  , 2020
Link: http://arxiv.org/abs/201..
 
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15

Data Augmentation for Training Dialog Models Robust to Spee..:

Wang, Longshaokan ; Fazel-Zarandi, Maryam ; Tiwari, Aditya..
http://arxiv.org/abs/2006.05635.  , 2020
Link: http://arxiv.org/abs/200..
 
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