Speech and Acoustic Information Processing

Course title

P0422800

Course description

Speech and Acoustics are fundamental means of information transfer in human communication and their technical applications are manifold. This lecture aims to provide basic knowledge of technical areas related to speech and acoustic processing, including basic characteristics of speech and acoustics, speech analysis techniques (correlation function, linear prediction, spectral analysis), noise and acoustic processing techniques (noise estimation and suppression, sound acquisition, transmission and reproduction), and pattern processing (feature extraction, classification, and identification of speech and acoustic information by machine learning). In addition, simple information processing exercises are performed for comprehension.

Purpose of class

The objective of this course is to learn the basic characteristics and technical fields related to speech and acoustics, and to acquire the knowledge necessary to perform works in these technical fields.

Goals and objectives

You can explain the physical and psychological characteristics and phenomena of speech and acoustics.
You can explain signal processing and information processing methods for speech and acoustics.
You can propose and explain applied services using speech and acoustics.

Relationship between 'Goals and Objectives' and 'Course Outcomes'

	Exercises (assignment report)	Practice (data processing)	Final Examination	Total.
1.	10%		20%	30%
2.	10%	20%	15%	45%
3.	10%		15%	25%
Total.	30%	20%	50%	-

Language

Japanese

Class schedule

	Class schedule	HW assignments (Including preparation and review of the class.)	Amount of Time Required
1.	Class Guidance. What is Speech Acoustics? Introduction to Python programming.	Read syllabus and handouts.	60minutes
1.		Review and assignments.	120minutes
2.	Physical and psychological characteristics of speech and acoustics.	Read the handout.	70minutes
2.		Review and assignment.	120minutes
3.	Speech analysis (1): Correlation function and pitch extraction.	Read the handout.	70minutes
3.		Review and assignment.	120minutes
4.	Speech analysis (2): Linear prediction and spectral analysis.	Practice (1): Programming and execution.	190minutes
5.	Acoustic analysis (1): Noise estimation and suppression.	Read the handout.	70minutes
5.	Acoustic analysis (1): Noise estimation and suppression.	Review and assignment.	120minutes
6.	Acoustic analysis (2): Sound acquisition, transmission, and reproduction.	Read the handout.	70minutes
6.		Review and assignment.	120minutes
7.	Speech and audio coding (1): Speech coding, quantization, quality evaluation.	Read the handout.	70minutes
7.		Review and assignment.	120minutes
8.	Speech and audio coding (2): Audio coding and conversion techniques.	Read the handout.	70minutes
8.		Review and assignment.	120minutes
9.	Pattern processing of speech (1): Speech recognition.	Read the handout.	70minutes
9.	Pattern processing of speech (1): Speech recognition.	Review and assignment.	120minutes
10.	Pattern processing of speech (2): Speech synthesis.	Practice (2): Programming and execution.	190minutes
11.	Speech and acoustic services (1): Dialogue system applications.	Read the handout.	70minutes
11.		Review and assignment.	120minutes
12.	Speech and acoustic services (2): Artificial reality, multimodal applications.	Read the handout.	70minutes
12.		Review and assignment.	120minutes
13.	Speech and acoustic Services (3): Welfare and environmental services applications.	Read the handout.	70minutes
13.		Review and assignment.	120minutes
14.	Final examination and overall summary.	Review and preparation for final examination.	190minutes
Total.	-	-	2650minutes

Evaluation method and criteria

The total score of 60% or more is required to pass the course, consisting of 50% for exercises and practices, and 50% for the final examination.

Feedback on exams, assignments, etc.

ways of feedback	specific contents about "Other"
Feedback in the class

Textbooks and reference materials

No textbook. Handout materials.

Prerequisites

None.

Office hours and How to contact professors for questions

Please contact us by e-mail.
Monday 5th period (17:00-18:40)

Regionally-oriented

Non-regionally-oriented course

Development of social and professional independence

Course that cultivates a basic problem-solving skills

Active-learning course

More than one class is interactive

Course by professor with work experience

Work experience	Work experience and relevance to the course content if applicable
Applicable	He has experience in research and development of media processing and recognition systems in a information and telecommunication company. He teaches technical terminologies and methods in relation to the systems and methods used in actual societies.

Education related SDGs:the Sustainable Development Goals

9.INDUSTRY, INNOVATION AND INFRASTRUCTURE

Last modified : Thu Feb 27 10:50:56 JST 2025