Spectral Features derived from Single Frequency Filter for Multispeaker Localization

Sushmita Thakallapalli, Sudarsana Kadiri, Suryakanth Gangashetty

Tutkimustuotos: Artikkeli kirjassa/konferenssijulkaisussaConference contributionScientificvertaisarvioitu

8 Lataukset (Pure)

Abstrakti

In this paper, we present a multispeaker localization method using the time delay estimates obtained from the spectral features derived from the single frequency filter (SFF) representation. The mixture signals are transformed into
SFF domain from which the temporal envelopes are extracted at each frequency. Subsequently, the spectral features such as mean and variance of temporal envelopes across frequencies are correlated for extracting the time delay estimates. Since these features emphasize the high SNR regions of the mixtures,
correlation of the corresponding features across the channels leads to robust delay estimates in real acoustic environments. We study the efficacy of the developed approach by comparing its performance with the existing correlation based time delay estimation techniques. Both, a standard data set recorded in
real-room acoustic environments and simulated data set are used for evaluations. It is observed that the localization performance of the proposed algorithm closely matches the performance of a state-of-the-art correlation approach and outperforms other approaches.
AlkuperäiskieliEnglanti
OtsikkoNational Conference on Communications (NCC) 2020
KustantajaIEEE
ISBN (elektroninen)978-1-7281-5120-5
DOI - pysyväislinkit
TilaJulkaistu - 2020
OKM-julkaisutyyppiA4 Artikkeli konferenssijulkaisuussa
TapahtumaNational Conference on Communications - Kharagpur, Intia
Kesto: 21 helmikuuta 202023 helmikuuta 2020
Konferenssinumero: 26

Conference

ConferenceNational Conference on Communications
LyhennettäNCC
MaaIntia
KaupunkiKharagpur
Ajanjakso21/02/202023/02/2020

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  • Projektit

    • 1 Päättynyt

    Poikkitieteellinen parametrisen puhesynteesin tutkimusprojekti

    Murtola, T., Bollepalli, B., Nonavinakere Prabhakera, N., Juvela, L., Airaksinen, M., Bäckström, T. & Alku, P.

    01/01/201824/01/2020

    Projekti: Academy of Finland: Other research funding

    Siteeraa tätä

    Thakallapalli, S., Kadiri, S., & Gangashetty, S. (2020). Spectral Features derived from Single Frequency Filter for Multispeaker Localization. teoksessa National Conference on Communications (NCC) 2020 [9056007] IEEE. https://doi.org/10.1109/NCC48643.2020.9056007