Speech and Audio Signal Processing and Transmission

Study programs

Teaching information

Teachers

prof. Ing. Jozef Juhár, PhD. doc. Ing. Stanislav Ondáš, PhD.

Schedule

Learning outcomes

Successful completion of the course helps the student to obtain basic knowledge in the field of speech and audio analysis and processing. He will understand principles of coding and decoding of speech, perceptual audio coding, automatic speech recognition and synthesis and he also obtains practical experiences in the field of designing speech codecs, audio codecs and automatic speech recognition and synthesis. Theoretical knowledge will be fixed by the individual work on designing of the telecommunication or audio streaming chain.

Course outline

1. Acoustic models of the speech production and the sound perception. 2. Analytic methods of speech and audio signal in the time domain. 3. Analytic methods of speech and audio signal in the frequency domain. 4. Parametric model of the human vocal tract. 5. Speech coding (waveform coding, analysis-by-synthesis methods, linear prediction methods) 6. Standardization and industry trends in field of speech coding. 7. Speech and audio signal transmission in packet networks. Protocols and methods of errors detection and repairing. 8. Quality evaluation of encoded speech. 9. Methods of perceptual audio coding. 10. Audio streaming. 11. Automatic speech and speaker recognition – basic principles. 12. Text-to-speech synthesis – basic principles.

Completion conditions

Assessment and completion of the course: Graded credit test Continuous assessment: Credit test Final assessment: Student passes the final assessment and passes the examination when he or she meets the requirement to obtain at least 51% out of 100%. Graded credit test Overall assessment: Overall assessment is the sum of the assessments obtained by students in the assessment period. The overall result is determined in accordance with the internal regulations of the Technical University in Košice. (Study Regulations, the internal regulation principles of doctoral studies)

Recommended literature

[1] J. Juhár a kol., Rečové technológie v telekomunikačných a informačných systémoch, 2011, Equilibria, ISBN 978-80-89284-75-7 [2] L. R. Rabiner and R. W. Schafer, Theory and Applications of Digital Speech Processing, Pearson Prentice Hall, 2011 [3] A. Spanias et.al, Audio Signal Processing and Coding, John Wiley a Sons, 2007 [4] Ben Gold et.al, Speech and Audio Signal Processing; Processing and Perception of Speech and Music, 2ed., John Wiley a Sons, 2011 [5] Wai C. Chu, Speech Coding Algorithms - Foundation and Evolution of Standardized Coders, John Wiley a Sons, 2003

Notes

To successfully complete the course, it is necessary to obtain a credit and successfully pass the exam. This includes the student's participation in educational activities of direct teaching, lectures, exercises, as well as independent study and independent creative activity of the student in processing the semester assignment / assignments, project on a specified topic, to a specified extent, in a specified design of a total of 180 hours intensity of the student's work per semester.

Grade distribution

Total graded students: 276