| Analysis of a low-dimensional bottleneck neural network representation of speech for modelling speech dynamics. L Bai, P Jancovic, MJ Russell, P Weber Interspeech 2015, 583-587, 2015 | 17 | 2015 |
| Exploring How Phone Classification Neural Networks Learn Phonetic Information by Visualising and Interpreting Bottleneck Features. L Bai, P Weber, P Jancovic, MJ Russell Interspeech, 1472-1476, 2018 | 12 | 2018 |
| Interpretation of Low Dimensional Neural Network Bottleneck Features in Terms of Human Perception and Production. P Weber, L Bai, MJ Russell, P Jancovic, SM Houghton INTERSPEECH, 3384-3388, 2016 | 9 | 2016 |
| Phone Classification Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs. L Bai, P Jancovic, MJ Russell, P Weber, SM Houghton Interspeech, 319-323, 2017 | 8 | 2017 |
| Progress on phoneme recognition with a continuous-state HMM P Weber, L Bai, SM Houghton, P Jančovič, MJ Russell 2016 IEEE International Conference on Acoustics, Speech and Signal …, 2016 | 8 | 2016 |
| Phone Recognition Using a Non-Linear Manifold with Broad Phone Class Dependent DNNs. M Qian, L Bai, P Jancovic, MJ Russell Interspeech, 3753-3757, 2018 | 6 | 2018 |
| Speech analysis using very low-dimensional bottleneck features and phone-class dependent neural networks L Bai University of Birmingham, 2018 | 2 | 2018 |
