SPE-13: Speech Recognition 5: New Algorithms |
| Session Type: Poster |
| Time: Wednesday, 9 June, 13:00 - 13:45 |
| Location: Gather.Town |
| Virtual Session: View on Virtual Platform |
| Session Chair: Bhuvana Ramabhadran, Google, Inc. |
| SPE-13.1: META-LEARNING FOR IMPROVING RARE WORD RECOGNITION IN END-TO-END ASR |
| Florian Lux; University of Stuttgart |
| Ngoc Thang Vu; University of Stuttgart |
| SPE-13.2: A COMPARISON OF METHODS FOR OOV-WORD RECOGNITION ON A NEW PUBLIC DATASET |
| Rudolf A Braun; Idiap Research Institute |
| Srikanth Madikeri; Idiap Research Institute |
| Petr Motlicek; Idiap Research Institute |
| SPE-13.3: CONVOLUTIONAL DROPOUT AND WORDPIECE AUGMENTATION FOR END-TO-END SPEECH RECOGNITION |
| Hainan Xu; Google |
| Yinghui Huang; Google |
| Yun Zhu; Google |
| Kartik Audhkhasi; Google |
| Bhuvana Ramabhadran; Google |
| SPE-13.4: PARTIALLY OVERLAPPED INFERENCE FOR LONG-FORM SPEECH RECOGNITION |
| Tae Gyoon Kang; Samsung Electronics |
| Ho-Gyeong Kim; Samsung Electronics |
| Min-Joong Lee; Samsung Electronics |
| Jihyun Lee; Samsung Electronics |
| Hoshik Lee; Samsung Electronics |
| SPE-13.5: FOCUS ON THE PRESENT: A REGULARIZATION METHOD FOR THE ASR SOURCE-TARGET ATTENTION LAYER |
| Nanxin Chen; Johns Hopkins University |
| Piotr Zelasko; Johns Hopkins University |
| Jesús Villalba; Johns Hopkins University |
| Najim Dehak; Johns Hopkins University |
| SPE-13.6: BIFOCAL NEURAL ASR: EXPLOITING KEYWORD SPOTTING FOR INFERENCE OPTIMIZATION |
| Jon Macoskey; Amazon.com |
| Grant Strimel; Amazon.com |
| Ariya Rastrow; Amazon.com |