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multi-condition training (21) 21
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speech recognition (7) 7
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2018 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2018, Volume 2018-, pp. 5624 - 5628
This paper addresses the task of Automatic Speech Recognition (ASR) with music in the background. We consider two different situations: 1) scenarios with very... 
Training | feature enhancement | Convolution | multi-condition training | robust speech recognition | Hidden Markov models | Speech recognition | Acoustics | Robustness | denoising autoencoder | joint training | Signal to noise ratio | Feature enhancement | Denoising autoencoder | Joint training | Robust speech recognition | Multi-condition training
Conference Proceeding
IEEJ Transactions on Electronics, Information and Systems, ISSN 0385-4221, 2012, Volume 132, Issue 10, pp. 17 - 1674
Journal Article
2017 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 03/2017, pp. 5210 - 5214
This paper addresses the task of Automatic Speech Recognition (ASR) with music in the background, where the accuracy of recognition may deteriorate... 
Training | feature enhancement | multi-condition training | Hidden Markov models | background music | Speech | Data models | Acoustics | Robustness | denoising autoencoder | Robust recognition | Signal to noise ratio
Conference Proceeding
2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 05/2014, pp. 4638 - 4642
This work presents an analysis of distant-talking speech recognition in a variety of reverberant conditions, correlating ASR performance to the acoustic... 
Training | Accuracy | multi-condition training | direct-to-reverberant ratio | Speech recognition | room impulse response | Speech | Reverberation | distant ASR | Microphones | reverberation
Conference Proceeding
Speech Communication, ISSN 0167-6393, 10/2015, Volume 73, pp. 28 - 46
•We study the low-variance and robust features for speech recognition system on the AURORA-4 corpus.•We propose to compute cepstral features from a regularized... 
Regularized MVDR | ASE | Robust feature extraction | Feature normalization | Multi-condition training | Speech recognition | ACOUSTICS | COMPUTER SCIENCE, INTERDISCIPLINARY APPLICATIONS | ENVIRONMENTS | FEATURE-EXTRACTION | SPEAKER VERIFICATION | SPECTRUM | Voice recognition
Journal Article
IEEE Transactions on Consumer Electronics, ISSN 0098-3063, 08/2010, Volume 56, Issue 3, pp. 1684 - 1688
Journal Article
ICASSP 2019 - 2019 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 05/2019, pp. 6570 - 6574
Audio-visual speech recognition (AVSR) is thought to be one of the potential solutions for robust speech recognition, especially in noisy environments.... 
Training | Visualization | Audio-visual speech recognition | Error analysis | bimodal DF-SMN | multi-condition training | robust speech recognition | Speech recognition | dropout | Acoustics | Decoding | Noise measurement
Conference Proceeding
AFRICON 2015, ISSN 2153-0025, 09/2015, Volume 2015-, pp. 1 - 5
In this paper, two model based approaches are applied to make GMM-UBM based speaker verification task noise robust. In the first approach, speaker model... 
Training | Adaptation models | Equal Error Rate | multi-condition training | GMM-UBM | Feature extraction | Speech | Data models | Noise measurement | Text-Independent Speaker Verification | Testing | Tasks | Noise | Cleaning | Background noise | Signal to noise ratio | Adaptation
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X, 2015, Volume 2015-, pp. 756 - 760
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X, 2014, pp. 1028 - 1032
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X, 2017, Volume 2017-, pp. 3847 - 3851
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X, 2014, pp. 616 - 620
Conference Proceeding
IET Conference Publications, 2017, Volume 2017, Issue 731
Conference Proceeding
LREC 2018 - 11th International Conference on Language Resources and Evaluation, 2019, pp. 3124 - 3131
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, ISSN 2308-457X, 2018, Volume 2018-, pp. 2928 - 2932
Conference Proceeding
2019 IEEE International Conference on Multimedia and Expo (ICME), 07/2019, pp. 796 - 801
In automatic speech recognition, often little training data is available for specific challenging tasks, but training of state-of-the-art automatic speech... 
Training | Adaptation models | transfer learning | multi-condition training | robust speech recognition | data augmentation | oral history | Training data | domain adaption | Data models | History | Reverberation
Conference Proceeding
2015 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), ISSN 1520-6149, 04/2015, Volume 2015-, pp. 5093 - 5097
Despite recent advancements in digital signal processing technology for cochlear implant (CI) devices, there still remains a significant gap between speech... 
Training | Cochlear implants | multi-condition training | Noise | Speech recognition | Speech enhancement | Speech | Reverberation | Automatic speech recognition | reverberation | cochlear implants | Conferences | Intelligibility | Waveforms | Strategy
Conference Proceeding
Proceedings of the 14th ACM international conference on multimodal interaction, 10/2012, pp. 517 - 522
Emotion recognition in real-life conditions faces several challenging factors, which most studies on emotion recognition do not consider. Such factors include... 
multi-condition training | recording level | emotion recognition | noise robustness | Emotion recognition | Noise robustness | Recording level | Multicondition training
Conference Proceeding
Proceedings of the Annual Conference of the International Speech Communication Association, INTERSPEECH, 2008, pp. 972 - 975
Conference Proceeding
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