ELEC-E5510 - Speech Recognition D, Lecture, 25.10.2023-8.12.2023
This course space end date is set to 08.12.2023 Search Courses: ELEC-E5510
Reading materials
Completion requirements
Collection of reading materials by topic.
2. Material on project topics
2.1. Language model adaptation
N-gram models adaptation techniques:
- TKK Master's thesis by Simo Broman pp. 9-41
- Master's thesis by Andre Mansikkaniemi pp. 47-53
- Bellegarda, J. R. (2004). Statistical language model adaptation: review and perspectives. Speech communication, 42(1), 93-108.
Neural language model adaptation techniques:
- Ma, M., Nirschl, M., Biadsy, F., & Kumar, S. (2017). Approaches for Neural-Network Language Model Adaptation. In INTERSPEECH (pp. 259-263).
- Li, K., Xu, H., Wang, Y., Povey, D., & Khudanpur, S. (2018). Recurrent Neural Network Language Model Adaptation for Conversational Speech Recognition. In Interspeech (Vol. 2018, pp. 3373-3377).