ELEC-E5510 - Speech Recognition D, Lecture, 3.11.2021-17.12.2021
This course space end date is set to 17.12.2021 Search Courses: ELEC-E5510
Lecture exercise 4: Token passing decoder
The goal is to verify that you have the learned the idea of a Token passing decoder. The extremely simplified HMM system is almost the same as in the 2B Viterbi algorithm exercise. The observed "sounds" are just quantified to either "A" or "B" with given probabilities in states S0 and S1. Now the task is to find the most likely state sequence to can produce the sequence of sounds A, A, B using a simple language model (LM). The toy LM used here is a look-up table that tells probabilities for different state sequences, (0,1), (0,0,1) etc., up to 3-grams.
Hint: You can either upload an edited source document, a pdf file, a photo of your notes or a text file with numbers. Whatever is easiest for you. To get the activity point the answer does not have to be correct.
- 4 October 2021, 5:05 PM
- 4 October 2021, 5:05 PM