LEARNING OUTCOMES
Technical content
- Understanding of and experience in the basics of speech modeling
- Knowledge of main areas of speech processing
- Ability to find and use pre-trained models and datasets for speech processing
- Ability to modify and train neural models for speech processing
- Experience with objective evaluation of speech processing including related statistical analysis
Human and societal aspects
- Understanding of basics of speech production, linguistics, and speech expression
- Awareness of issues of diversity, discrimination, privacy, and sustainability in speech processing
- Experience with subjective evaluation and knowledge of their design constraints
Credits: 5
Schedule: 02.09.2024 - 14.10.2024
Teacher in charge (valid for whole curriculum period):
Teacher in charge (applies in this implementation): Tom Bäckström
Contact information for the course (applies in this implementation):
CEFR level (valid for whole curriculum period):
Language of instruction and studies (applies in this implementation):
Teaching language: English. Languages of study attainment: Finnish, Swedish, English
CONTENT, ASSESSMENT AND WORKLOAD
Content
valid for whole curriculum period:
- Systems structures and application areas
- Basic digital speech processing, including short-time spectral analysis and processing, envelope models, fundamental frequency, linear predictive coding, mel-frequency cepstral coefficients
- Fundamental pre-processing methods, including voice activity detection and speech enhancement
- Speech processing applications, including speech coding, speech enhancement, voice conversion, and speaker identification
- Quality evaluation using objective and subjective methods, and basic statistical analysis of results
- Machine learning for speech, including working with audio and datasets, finding and using pre-trained models, building own models, overall workflow
Assessment Methods and Criteria
valid for whole curriculum period:
Examination and assignments.
Workload
valid for whole curriculum period:
- Lecture sessions
- Exercise sessions
- Independent group work
- Own work
- Exam
Attendance in the exam is compulsory.
DETAILS
Study Material
valid for whole curriculum period:
Introduction to speech processing, https://speechprocessingbook.aalto.fi
Substitutes for Courses
valid for whole curriculum period:
Prerequisites
valid for whole curriculum period:
SDG: Sustainable Development Goals
5 Gender Equality
9 Industry, Innovation and Infrastructure
10 Reduced Inequality
12 Responsible Production and Consumption
FURTHER INFORMATION
Further Information
valid for whole curriculum period:
Teaching Language: English
Teaching Period: 2024-2025 Autumn I
2025-2026 Autumn I