Speech Coding (SpCo)2.5 ECTS
(englische Bezeichnung: Speech Coding)

Lehrveranstaltungen:

• • Speech Coding
    (Vorlesung, 2 SWS, Tom Bäckström, Mi, 16:15 - 17:45, 3R4.04, (außer Mi 8.7.2015, Mi 15.7.2015); Einzeltermine am 8.7.2015, 15.7.2015, 16:15 - 17:45, P1 LIKE)

Inhalt:

Course Description

Mobile phones – everyone has one. With 7 billion mobile phones in use, digital speech transmission is a truly global technology. Your grandma has one, Prince Charles has one and the poorest village in Africa has one. While the technology clearly works already, with such a market, the smallest improvement, when multiplied by 7 billion, has a huge impact worldwide.

Speech coding refers to digital compression and transmission of speech. This course provides an in-depth perspective to ACELP, the most commonly used speech coding algorithm. We will study the speech production models on which it is based, the perceptual models which are used for its optimization, and most importantly, go through the theory and practice of the most important concepts, linear prediction (LP), long time prediction (LTP), algebraic codebooks, line spectral frequencies (LSFs) and windowing. In addition, we will look at the big picture, the additional challenges that emerge when building a commercial speech coding product.

The goal of this course is to provide a strong foundation for researchers, engineers, and graduate students who are interested in the problem of speech coding.

Relation to other courses

This course is the most advanced course offered by the university on this topic, and serves as an excellent basis from which to commence research in the area. Various aspects of the course bring students up to date with the very latest developments in the field, as seen in recent international standards, conferences and journals. This course builds on Sprach- und Audiosignalverarbeitung (by Prof. Kellermann), and is well complimented by Mensch-Maschine-Schnittstelle (by Prof. Rabenstein), Praxis der Audiodatenkompression (Dr. Grill), Speech Enhancement (Prof. Habets) and Selected Topics in Perceptual Audio Coding (Prof. Herre), which deal with many other signal processing methods and gives an understanding of human auditory perception (also a key part of speech coding) and audio compression techniques.

Lernziele und Kompetenzen:

• Knowledge - The student remembers the main parts of a speech codec, the most important assumptions of the source and perception made in the design of codecs, as well as the most important available speech codecs and perceptual evaluation methods. In addition, he knows terminology and abbreviations related to speech coding.

• Comprehension - He understands how design choices in speech codecs are related to service quality, he understands how mobile communication environment (hardware, network, channel) constrains the design and importantly, he understands how the most common tools of speech coding work.

• Application - Can apply standard mathematical optimization with perceptual criteria to design basic speech coding tools or minor modifications thereof.

• Analysis - Can analyse speech coding standards and perceptual evaluation tools to determine what assumptions and requirements they have.

• Evaluation - Can evaluate speech coding standards and perceptual evaluation tools to determine which one is the most suitable for a given use-case.

• Synthesis - Can create a list of requirements and choose evaluation criteria for speech codecs.
  

Weitere Informationen:

Verwendbarkeit des Moduls / Einpassung in den Musterstudienplan:
Das Modul ist im Kontext der folgenden Studienfächer/Vertiefungsrichtungen verwendbar:

1. Communications and Multimedia Engineering (Master of Science)
   (Po-Vers. 2011 | Masterprüfung | Wahlmodule | Technische Wahlmodule)
2. Informations- und Kommunikationstechnik (Master of Science): 1-3. Semester
   (Po-Vers. 2010 | Wahlbereiche, Praktika, Seminar, Masterarbeit | Wahlmodule aus dem Angebot von EEI und Informatik)

Studien-/Prüfungsleistungen:

Speech Coding (Prüfungsnummer: 948376)

(diese Prüfung gilt nur im Kontext der Studienfächer/Vertiefungsrichtungen [2])

Prüfungsleistung, Klausur, benotet

Anteil an der Berechnung der Modulnote: 100.0 %

Erstablegung: SS 2015, 1. Wdh.: WS 2015/2016

1. Prüfer:

Tom Bäckström

Speech Coding

(diese Prüfung gilt nur im Kontext der Studienfächer/Vertiefungsrichtungen [1])

Prüfungsleistung, Klausur, benotet

Anteil an der Berechnung der Modulnote: 100.0 %

Erstablegung: SS 2015, 1. Wdh.: WS 2015/2016

1. Prüfer:

Tom Bäckström

Speech Coding

Prüfungsleistung, Klausur, benotet

Anteil an der Berechnung der Modulnote: 100.0 %

Erstablegung: SS 2015, 1. Wdh.: WS 2015/2016

1. Prüfer:

Tom Bäckström