Instructor: Dr. Ying Shen (yingshen@tongji.edu.cn)
Evaluation: assignments (40%), project (50%), participation (10%)
Slides |
Related Materials |
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Assignment 1 due date: |
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Assignment 2 due date: |
HMM single Gaussian for isolated words apply EM algorithm (MATLAB codes) |
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Assignment 3 due date: |
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Kaldi toolkit yesno dataset |
Notes:
1. Compress all files into a .zip file whose name is composed of student name and ID. (such as "ID_name_assignment1.zip")
2. Plagiarism is forbidden and resubmission will not be accepted.
3. All the documents you hand in, including comments in the source codes, should be in English.
4. Submit your solutions to canvas
1. Compress all files into a .rar or .zip file whose name is composed of student name and ID (such as "ID_name_project.zip").
2. All the documents you hand in should be in English.
Project contents
Program (25 points)
Report (35 points)
1. Describe the problem you want to solve;
2. A survey on the selected topic and related methds;
3. The structure (or workflow) and functionality of your program;
4. Performance evaluation;
5. Advantages and disadvantages of your method;
Marking
Program: Origninality of the selected topic or applied method (published since 2010) (5'); Performance (8') Complexity(7') |
Report: 1. (5'); 2. (8'); 3.(5'); 4. (7'); 5. (3'); Clarity (2') |
《语音识别 原理与应用》 洪青阳 李琳 电子工业出版社 |
Spoken language processing: A guide to theory, algorithm and system development Xuedong Huang, Alex Acero, Hsiao-wuen Hon |
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Kaldi语音识别实践 陈果果 都家宇 那兴宇 张俊博 电子工业出版社 |
Created on: Sep. 11, 2018
Last updated on: Dec. 25, 2019