Fundamentals of Speech Recogniti

Fundamentals of Speech Recognition

As with most ICISLT courses, this course is a hands-on project-based course. However, this course covers subject matter similar to a number of conventional graduate courses in speech recognition so there are textbooks available for reference. There will be no lectures, however, and the textbook material can be studied in a just-in-time fashion according to the needs of each project.

Textbooks:

Frederick Jelinek, Statistical Methods for Speech Recognition

Xuedong Huang et. al., Spoken Language Processing

Projects:

Preliminary Projects

Reading and Writing Shared File Formats
Generating Data from a Hidden Markov Process
Generating Unit Tests for Projects

Analysis Tools

Speech Signal Processing
Speech Displays
Interactive Transcription System
Recording Systems

Acoustic Modeling

Alignment to a Script
Training Acoustic Models

Language Modeling

Developing Application Grammars
Statistical Language Models

Search Methodologies

Frame Synchronous Decoder
Priority Queue Decoders (Stack and Multi-stack)
Multi-pass Recognizer

Recognition Systems

Phoneme Recognizer
Connected Digit Recognizer
Discrete Utterance Recognizer