Usage of acoustic cues in spoken term detection / keyword spotting for zero/low resource languages

PATHA, SREEDHAR and SURYAKANTH, V. GANGASHETTY (2017) Usage of acoustic cues in spoken term detection / keyword spotting for zero/low resource languages. In: Fifth International Conference on Advances in Computing, Communication and Information Technology - CCIT 2017, 02-03 September, 2017, Zurich, Switzerland.

[img]
Preview
Text
20170922_050558.pdf - Updated Version

Download (152kB) | Preview
Official URL: https://www.seekdl.org/conferences/paper/details/9...

Abstract

The proposed work exploits acoustic cues at various levels and incorporates them in the present (Spoken Term Detection) STD frame work. Recently proposed new syllabification method [1] for speech signal is being used for STD . In STD, a query and reference speech signals are provided, these speech signals are syllabified using the new syllabification method and features like Mel - frequency cepstral coefficients (MFCC), posterior grams are extracted. These features are then matc hed using template based match techniques like dynamic time warping (DTW) at syllable level instead of regular frame level. This essentially reduces the unwanted matching done at frame level.

Item Type: Conference or Workshop Item (Paper)
Uncontrolled Keywords: Syllabifiaction, Spoken term detection, Dynamic Time warping.
Depositing User: Mr. John Steve
Date Deposited: 11 Mar 2019 08:31
Last Modified: 11 Mar 2019 08:31
URI: http://publications.theired.org/id/eprint/404

Actions (login required)

View Item View Item