A New Strategy of Direct Access for Speaker Identification System Based on Classification

Heryanto, Hery; Akbar, Saiful; Sitohang, Benhard

doi:10.12928/telkomnika.v13i4.2017

Cited by 2 publications

(1 citation statement)

References 16 publications

(11 reference statements)

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“…Hery Heryanto, Saiful Akbar and Benhard Sitohang [32] present a new direct access strategy for speaker identification system. DAMClass is a method for direct access strategy that speeds up the identification process without decreasing the identification rate drastically.…”

Section: Literature Reviews (Speaker Verification and Identification)mentioning

confidence: 99%

Query by Example of Speaker Audio Signals using Power Spectrum and MFCCs

Doungpaisan

Mingkhwan

2017

IJECE

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Search engine is the popular term for an information retrieval (IR) system. Typically, search engine can be based on full-text indexing. Changing the presentation from the text data to multimedia data types make an information retrieval process more complex such as a retrieval of image or sounds in large databases. This paper introduces the use of language and text independent speech as input queries in a large sound database by using Speaker identification algorithm. The method consists of 2 main processing first steps, we separate vocal and non-vocal identification after that vocal be used to speaker identification for audio query by speaker voice. For the speaker identification and audio query by process, we estimate the similarity of the example signal and the samples in the queried database by calculating the Euclidian distance between the Mel frequency cepstral coefficients (MFCC) and Energy spectrum of acoustic features. The simulations show that the good performance with a sustainable computational cost and obtained the average accuracy rate more than 90%.

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Section: Literature Reviews (Speaker Verification and Identification)mentioning

confidence: 99%