Acoustic Segment Modeling using Spectral Clustering techniques

Swati, (2016) Acoustic Segment Modeling using Spectral Clustering techniques. Masters thesis, Indian Institute of Technology Hyderabad.

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Abstract

Acoustic models plays a very important role in many speech applications like speech recognition, spoken term detection, topic classi cation, language identi cation etc. Acoustic segment modeling (ASM) is a method to build acoustic models based on acoustic similarities of speech segments. Typically, the standard process of training acoustic models is supervised which has attained great success in past. The issue with supervised techniques is the availability of large amount of transcribed data and language-speci c knowledge. Transcribing the speech data is time consuming,tedious and demands a lot of expert human labour, and hence expensive.

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IITH Creators:
IITH CreatorsORCiD
Item Type: Thesis (Masters)
Uncontrolled Keywords: Acoustic Segment modeling, segmentation, Automatic Speech Recognition
Subjects: Physics > Electricity and electronics
Divisions: Department of Electrical Engineering
Depositing User: Library Staff
Date Deposited: 24 Jun 2016 05:38
Last Modified: 24 Jun 2016 05:38
URI: http://raiith.iith.ac.in/id/eprint/2471
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