| Non-Parametric Bayesian Subspace Models for Acoustic Unit Discovery | 0 | 0.34 | 2022 |
| Revisiting joint decoding based multi-talker speech recognition with DNN acoustic model | 0 | 0.34 | 2022 |
| A HIERARCHICAL SUBSPACE MODEL FOR LANGUAGE-ATTUNED ACOUSTIC UNIT DISCOVERY | 0 | 0.34 | 2021 |
| The Zero Resource Speech Challenge 2020: Discovering discrete subword and word units | 2 | 0.35 | 2020 |
| The Zero Resource Speech Challenge 2019 - TTS Without T. | 2 | 0.35 | 2019 |
| Deriving Spectro-temporal Properties of Hearing from Speech Data | 0 | 0.34 | 2019 |
| Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. | 0 | 0.34 | 2019 |
| The Zero Resource Speech Challenge 2019: TTS without T | 1 | 0.34 | 2019 |
| Bayesian Subspace Hidden Markov Model for Acoustic Unit Discovery. | 0 | 0.34 | 2019 |
| Towards Automatic Methods To Detect Errors In Transcriptions Of Speech Recordings | 0 | 0.34 | 2019 |
| Analysis of BUT-PT Submission for NIST LRE 2017. | 0 | 0.34 | 2018 |
| Automatic Speech Recognition and Topic Identification from Speech for Almost-Zero-Resource Languages. | 0 | 0.34 | 2018 |
| The JHU Speech LOREHLT 2017 System: Cross-Language Transfer for Situation-Frame Detection. | 0 | 0.34 | 2018 |
| BUT Zero-Cost Speech Recognition 2016 System Description. | 0 | 0.34 | 2016 |
| Variational Inference for Acoustic Unit Discovery. | 13 | 0.71 | 2016 |
| Mask Plus :Data-Driven Regions Selection For Acoustic Fingerprinting | 0 | 0.34 | 2015 |
| Calibration and fusion of query-by-example systems — But SWS 2013 | 13 | 0.99 | 2014 |
| BUT SWS 2013 - Massive Parallel Approach. | 4 | 0.37 | 2013 |
