Subject

XSL Content

Speech Processing

General details of the subject

Mode
Face-to-face degree course
Language
English

Description and contextualization of the subject

The objective is for students to become familiar with the voice signal as well as the basic techniques used for its analysis and processing. For this, the fundamentals of the production of human speech and its perception by the human ear are described, to continue with the definition of the basic techniques of voice signal processing. The course includes numerous exercises and practices for students to work with these concepts.

Teaching staff

NameInstitutionCategoryDoctorTeaching profileAreaE-mail
HERNAEZ RIOJA, INMACULADA CONCEPCIONUniversity of the Basque CountryProfesorado Catedratico De UniversidadDoctorNot bilingualTheory of Signals and Communicationsinma.hernaez@ehu.eus
NAVAS CORDON, EVAUniversity of the Basque CountryProfesorado AgregadoDoctorNot bilingualTheory of Signals and Communicationseva.navas@ehu.eus
SARATXAGA COUCEIRO, IBONUniversity of the Basque CountryProfesorado AgregadoDoctorBilingualTelematics Engineeringibon.saratxaga@ehu.eus

Competencies

NameWeight
Know and interpret the processes of generation and perception of the human speech.25.0 %
Analyze and explain the temporal and spectral analysis of speech signals.25.0 %
Manage basic computer tools for speech signal processing.25.0 %
Understand and interpret the main parameters used in the representation of the speech signal.25.0 %

Study types

TypeFace-to-face hoursNon face-to-face hoursTotal hours
Lecture-based1522.537.5
Applied laboratory-based groups304575

Training activities

NameHoursPercentage of classroom teaching
Lectures37.540 %
Prácticas con ordenador, laboratorio, salidas de campo, visitas externas75.040 %

Assessment systems

NameMinimum weightingMaximum weighting
Internship Report/Summary30.0 % 60.0 %
Multiple-choice examination40.0 % 70.0 %

Learning outcomes of the subject

RA1 Describe the processes of generation and perception of the speech signal

RA2 Show knowledge about the temporal and frequency representation of the speech signal and about the techniques used for its analysis

RA3 Measure and interpret the main parameters that characterize the speech signal

RA4 Manage tools for the analysis and processing of the speech signal

Ordinary call: orientations and renunciation

The evaluation is divided into two independent parts: master lessons and lab practices.

- The knowledge about the master lessons will be proven by means of an individual written test based on short and multiple-choice questions (50%).

- The lab practices will be evaluated by the reports and the work developed at the lab (50%).

In the regular evaluation, the exam must be passed with almost a 4 over 10 and to succeed in the subject a minimum final grade of 5 over 10 is required, once the grades of the two parts are added up. The two parts are independent and once one part is passed, the corresponding grade is kept for future calls.

The students unable to follow the combined evaluation must justify their reasons with proper documentation sent to the subject lecturers, according to the procedure established by the current regulation in the first two weeks of the course. These students will be able to prove the achievement of the learning results by means of a final evaluation consisting of: a written exam (50%) and a laboratory exam (50%).

By not showing to the final written exam, the student refuses to take part in the call.

Extraordinary call: orientations and renunciation

In the extraordinary call, two different tests will be made: an exam for the master classes and another one for the lab practices. Each test will represent the 50% of the final note and both of them must be passed with at least a 5 over 10.

The students that have not presented the written justification to elude in the continuous evaluation must prove they have correctly completed the lab practices.

Temary

1. Speech production

2. Speech perception

3. Basic concepts about speech signals

4. Speech signal representation

Bibliography

Compulsory materials

Documentation provided via eGela, both for master classes and for laboratory practices

Basic bibliography

X. Huang, A. Acero, H. Hon. Spoken Language Processing: A Guide to Theory, Algorithm and System Development. Prentice Hall, 2001. (ISBN: 978-0130226167)

L. R. Rabiner, R. W. Schafer. Digital processing of speech signal. Prentice-Hall, 1978. (ISBN: 978-0132136037)

J. G. Proakis, D. G. Manolakis. Digital signal processing. Principles, algorithms and applications (4th edition). Pearson Prentice Hall, 2007. (ISBN: 978-0131873742)

D. Jurafsky, J. H. Martin. Speech and Language Processing (2nd edition). Prentice Hall, 2008. (ISBN: 978-0131873216)

Journals

Computer Speech and Language

Speech Communication

IEEE Transactions on Audio Speech and Language Processing

IEEE Transactions on Multimedia

Links

Página de voz en la CMU http://www.speech.cs.cmu.edu/
European Languages Resources Association (ELRA) http://www.elra.info/en/catalogues/
Linguistic Data Consortium (LDC) https://www.ldc.upenn.edu/language-resources Smithsonian Speech Synthesis History Project (SSSHP) http://www.mindspring.com/~ssshp/ssshp_cd/ss_home.htm Síntesis de habla emocional http://emosamples.syntheticspeech.de/