Signal Processing and Speech Communication Laboratory
homestudent projects › Keyword Spotting for Emergency

Keyword Spotting for Emergency

Status
Finished
Type
Master/Diploma Thesis
Seminar Type
- None -
Announcement date
10 Oct 2013
Student
Andreas Zehetner
Mentors
Research Areas

Introduction:

Keyword Spotting is an important component of speech signal processing. Thereby the
occurence of keywords in a continuously audio signal should be detected. Therefor two
di erent approaches can be distinguished. On the one hand some approaches use phonetic
or syllabic models for their basic speech models and afterwards processing via hidden
Markov models. These algorithms have high computational costs and require training
data.

Scope:

The aim of this thesis is to develop a robust keyword spotting algorithm for emergendy applications. Furthermore, a rhythm clapped with hands should be also recognized as keyword for an emergency. The algorithms should be implemented in matlab and empirically compared