Time delay estimation using difference function
Identifieur interne :
000003 ( PascalFrancis/Curation );
précédent :
000002;
suivant :
000004
Time delay estimation using difference function
Auteurs : Deepti Singh [
Irlande (pays)] ;
Frank Boland [
Irlande (pays)]
Source :
-
IEE conference publication
RBID : Pascal:06-0140030
Descripteurs français
- Pascal (Inist)
- Temps retard,
Temps différé,
Estimation direction arrivée,
Signal vocal,
Formation voie,
Corrélation croisée,
Evaluation performance,
Algorithme,
Fréquence fondamentale,
Son musical,
Simulation,
Chambre réverbérante,
Estimation signal,
Estimation paramètre,
Signal acoustique.
- Wicri :
English descriptors
- KwdEn :
- Acoustic signal,
Algorithm,
Beam forming,
Cross correlation,
Delay time,
Delayed time,
Direction-of-arrival estimation,
Fundamental frequency,
Musical sound,
Parameter estimation,
Performance evaluation,
Reverberation room,
Signal estimation,
Simulation,
Vocal signal.
Abstract
Time Delay Estimation (TDE) is used in calculating the Direction of Arrival (DOA) of speech signals and beamforming. Cross-Correlation is a popular method used for TDE. However Cross-Correlation's performance degrades in the presence of high noise and reverberation. The YIN algorithm is used to determine the fundamental frequency of music and speech signals. This paper presents an extension of the YIN algorithm that can be used for TDE. Simulations comparing the performance of the unbiased Cross-Correlation and the modified YIN algorithms in five rooms of different reverberation are presented. The modified YIN algorithm performs better than the unbiased Cross-Correlation algorithm in high reverberant conditions.
| pA |
| A05 | | | | @2 511 |
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| A08 | 01 | 1 | ENG | @1 Time delay estimation using difference function |
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| A09 | 01 | 1 | ENG | @1 IEE Irish signals and systems conference 2005 : Dublin Ireland, 1-2 September 2005 |
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| A11 | 01 | 1 | | @1 SINGH (Deepti) |
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| A11 | 02 | 1 | | @1 BOLAND (Frank) |
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| A14 | 01 | | | @1 Department of Electronic and Electrical Engineering Trinity College @2 Dublin @3 IRL @Z 1 aut. @Z 2 aut. |
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| A20 | | | | @1 174-179 |
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| A21 | | | | @1 2005 |
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| A23 | 01 | | | @0 ENG |
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| A26 | 01 | | | @0 0-86341-549-0 |
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| A43 | 01 | | | @1 INIST @2 12497 @5 354000138725780300 |
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| A44 | | | | @0 0000 @1 © 2006 INIST-CNRS. All rights reserved. |
|---|
| A45 | | | | @0 13 ref. |
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| A47 | 01 | 1 | | @0 06-0140030 |
|---|
| A60 | | | | @1 P @2 C |
|---|
| A61 | | | | @0 A |
|---|
| A64 | 01 | 2 | | @0 IEE conference publication |
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| A66 | 01 | | | @0 GBR |
|---|
| C01 | 01 | | ENG | @0 Time Delay Estimation (TDE) is used in calculating the Direction of Arrival (DOA) of speech signals and beamforming. Cross-Correlation is a popular method used for TDE. However Cross-Correlation's performance degrades in the presence of high noise and reverberation. The YIN algorithm is used to determine the fundamental frequency of music and speech signals. This paper presents an extension of the YIN algorithm that can be used for TDE. Simulations comparing the performance of the unbiased Cross-Correlation and the modified YIN algorithms in five rooms of different reverberation are presented. The modified YIN algorithm performs better than the unbiased Cross-Correlation algorithm in high reverberant conditions. |
|---|
| C02 | 01 | X | | @0 001D04A05B |
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| C02 | 02 | X | | @0 001D04A04A2 |
|---|
| C03 | 01 | X | FRE | @0 Temps retard @5 01 |
|---|
| C03 | 01 | X | ENG | @0 Delay time @5 01 |
|---|
| C03 | 01 | X | SPA | @0 Tiempo retardo @5 01 |
|---|
| C03 | 02 | X | FRE | @0 Temps différé @5 02 |
|---|
| C03 | 02 | X | ENG | @0 Delayed time @5 02 |
|---|
| C03 | 02 | X | SPA | @0 Tiempo diferido @5 02 |
|---|
| C03 | 03 | 3 | FRE | @0 Estimation direction arrivée @5 03 |
|---|
| C03 | 03 | 3 | ENG | @0 Direction-of-arrival estimation @5 03 |
|---|
| C03 | 04 | X | FRE | @0 Signal vocal @5 04 |
|---|
| C03 | 04 | X | ENG | @0 Vocal signal @5 04 |
|---|
| C03 | 04 | X | SPA | @0 Señal vocal @5 04 |
|---|
| C03 | 05 | X | FRE | @0 Formation voie @5 05 |
|---|
| C03 | 05 | X | ENG | @0 Beam forming @5 05 |
|---|
| C03 | 05 | X | SPA | @0 Formación haz @5 05 |
|---|
| C03 | 06 | X | FRE | @0 Corrélation croisée @5 06 |
|---|
| C03 | 06 | X | ENG | @0 Cross correlation @5 06 |
|---|
| C03 | 06 | X | SPA | @0 Correlación cruzada @5 06 |
|---|
| C03 | 07 | X | FRE | @0 Evaluation performance @5 07 |
|---|
| C03 | 07 | X | ENG | @0 Performance evaluation @5 07 |
|---|
| C03 | 07 | X | SPA | @0 Evaluación prestación @5 07 |
|---|
| C03 | 08 | X | FRE | @0 Algorithme @5 08 |
|---|
| C03 | 08 | X | ENG | @0 Algorithm @5 08 |
|---|
| C03 | 08 | X | SPA | @0 Algoritmo @5 08 |
|---|
| C03 | 09 | X | FRE | @0 Fréquence fondamentale @5 09 |
|---|
| C03 | 09 | X | ENG | @0 Fundamental frequency @5 09 |
|---|
| C03 | 09 | X | SPA | @0 Frecuencia fundamental @5 09 |
|---|
| C03 | 10 | X | FRE | @0 Son musical @5 10 |
|---|
| C03 | 10 | X | ENG | @0 Musical sound @5 10 |
|---|
| C03 | 10 | X | SPA | @0 Sonido musical @5 10 |
|---|
| C03 | 11 | X | FRE | @0 Simulation @5 11 |
|---|
| C03 | 11 | X | ENG | @0 Simulation @5 11 |
|---|
| C03 | 11 | X | SPA | @0 Simulación @5 11 |
|---|
| C03 | 12 | X | FRE | @0 Chambre réverbérante @5 12 |
|---|
| C03 | 12 | X | ENG | @0 Reverberation room @5 12 |
|---|
| C03 | 12 | X | SPA | @0 Cámara reverberante @5 12 |
|---|
| C03 | 13 | X | FRE | @0 Estimation signal @5 31 |
|---|
| C03 | 13 | X | ENG | @0 Signal estimation @5 31 |
|---|
| C03 | 13 | X | SPA | @0 Estimación señal @5 31 |
|---|
| C03 | 14 | X | FRE | @0 Estimation paramètre @5 32 |
|---|
| C03 | 14 | X | ENG | @0 Parameter estimation @5 32 |
|---|
| C03 | 14 | X | SPA | @0 Estimación parámetro @5 32 |
|---|
| C03 | 15 | X | FRE | @0 Signal acoustique @5 33 |
|---|
| C03 | 15 | X | ENG | @0 Acoustic signal @5 33 |
|---|
| C03 | 15 | X | SPA | @0 Señal acústica @5 33 |
|---|
| N21 | | | | @1 086 |
|---|
| N44 | 01 | | | @1 OTO |
|---|
| N82 | | | | @1 OTO |
|---|
|
|---|
| pR |
| A30 | 01 | 1 | ENG | @1 IEE Irish signals and systems conference @3 Dublin IRL @4 2005-09-01 |
|---|
|
|---|
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Le document en format XML
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<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Electronic and Electrical Engineering Trinity College</s1>
<s2>Dublin</s2>
<s3>IRL</s3>
<sZ>1 aut.</sZ>
<sZ>2 aut.</sZ>
</inist:fA14><country>Irlande (pays)</country>
</affiliation><author><name sortKey="Boland, Frank" sort="Boland, Frank" uniqKey="Boland F" first="Frank" last="Boland">Frank Boland</name>
<affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Department of Electronic and Electrical Engineering Trinity College</s1>
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<term>Direction-of-arrival estimation</term>
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<term>Son musical</term>
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</keywords><front><div type="abstract" xml:lang="en">Time Delay Estimation (TDE) is used in calculating the Direction of Arrival (DOA) of speech signals and beamforming. Cross-Correlation is a popular method used for TDE. However Cross-Correlation's performance degrades in the presence of high noise and reverberation. The YIN algorithm is used to determine the fundamental frequency of music and speech signals. This paper presents an extension of the YIN algorithm that can be used for TDE. Simulations comparing the performance of the unbiased Cross-Correlation and the modified YIN algorithms in five rooms of different reverberation are presented. The modified YIN algorithm performs better than the unbiased Cross-Correlation algorithm in high reverberant conditions.</div>
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