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SGN-4507 SPEECH RECOGNITION LABORATORY, 3 cr
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Courses persons responsible
Konsta Koppinen
Lecturers
Anssi Klapuri
Implementations
| Period 1 | Period 2 | Period 3 | Period 4 | Period 5 | Summer | |
| Lecture | - | - | - | - | 2 h/per | - |
| Assignment | - | - | - | - | 71 h/per | - |
| Exam | ||||||
Objectives
The objective is to familiarize the student with the practical implementation of a speech recognizer by a project work which is carried out independently.
Content
| Content | Core content | Complementary knowledge | Specialist knowledge |
| 1. | Implementation of a digit recognizer using HTK (Hidden Markov Model-toolkit).
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| 2. | Calculation of feature vectors, language modelling, estimation of the parameters of an acoustic model using training data, evaluation of a speech recognizer |
Requirements for completing the course
Completed project work and a report.
Evaluation criteria for the course
Study material
| Type | Name | Auhor | ISBN | URL | Edition, availability... | Exam material | Language |
| Book | "The HTK Book Version 3.3" | S. Young, G. Evermann, M. Gales, T. Hain, D. Kershaw, G. Moore, J. Odell, D. Ollason, D. Povey, V. Valtchev, P. Woodland | http://htk.eng.cam.ac.uk/docs/docs.shtml | No | English |
Prerequisites
| Code | Course | Credits | M/R |
| SGN-4106 | SGN-4106 Speech Recognition | 5 | Recommendable |
Prequisite relations (Sign up to TUT Intranet required)
Additional information about prerequisites
The course Speech Recognition can be done at the same time as this course.
Remarks
Replaces the courses SGN-4500 and SGN-4506. Can be done via distance learning in the KIT-network, see the course homepage for instructions.
Scaling
| Methods of instruction | Hours |
| Lectures | 2 |
| Laboratory assignments | 71 |
| Total sum | 73 |
Correspondence of content
SGN-4506 Speech Recognition Laboratory
| Last modified | 17.08.2007 |
| Modified by | Sari Peltonen |