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Pregled bibliografske jedinice broj: 712741

Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language


Varošanec-Škarić, Gordana; Pavić, Iva; Kišiček, Gabrijela
Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language // 23rd CONFERENCE of IAFPA
Zürich, Švicarska, 2014. (poster, međunarodna recenzija, sažetak, znanstveni)


CROSBI ID: 712741 Za ispravke kontaktirajte CROSBI podršku putem web obrasca

Naslov
Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language

Autori
Varošanec-Škarić, Gordana ; Pavić, Iva ; Kišiček, Gabrijela

Vrsta, podvrsta i kategorija rada
Sažeci sa skupova, sažetak, znanstveni

Skup
23rd CONFERENCE of IAFPA

Mjesto i datum
Zürich, Švicarska, 01.09.2014. - 03.09.2014

Vrsta sudjelovanja
Poster

Vrsta recenzije
Međunarodna recenzija

Ključne riječi
similarity index ; dissimilarity index ; LTASS ; filtered ; non-filtered ; croatian speakers

Sažetak
Acoustic-statistical measurements of similarity index (R) and dissimilarity index (SDDD) on the basis of long term average spectra (LTASS) can be used as a support measurement in forensic phonetic cases (Harmegnies, 1995). In this research similarity and dissimilarity indices were compared for speech samples in filtered and non-filtered conditions. The data consisted of 86 speakers originating from 8 largest Croatian cities representing three dialects of Croatian language. All speakers were recorded under the controlled conditions reading standardized text and during the spontaneous speech. Recordings were edited in Cool Edit program and speech samples (duration 60 s) were filtered. Filtered and non-filtered speech samples were than compared on the basis of LTASS (non-filtered conditions (0 - 10 kHz) and filtered (0.8 – 4 kHz)). Using index R and index SDDD intraspeaker variations and interspeaker variations were compared respectively for male and female speakers. Results of intraspeaker variations showed that average values of similarity index (R) in non- filtered conditions were between 0.94 for male speakers in reading texts to 0.98 for female speakers in reading text and spontaneous speech. Results of interspeaker variations showed lower values of index R in the non- filtered conditions: from 0.86 in spontaneous speech to 0.94 in reading text for female speakers. Average values of R in filtered conditions for intraspeaker variations were between 0.83 for both female and male speakers in spontaneous speech to 0.95 in reading texts. Average values of R index in filtered conditions for interspeaker variations were significantly lower ; from 0.57 for male spontaneous speech to 0.9 for female reading texts. Average values of index SDDD in non- filtered conditions for intraspeaker variations were generally lower – from 2.27 for female speakers to 3 for male speakers in reading. SDDD index showed higher values in non-filtered conditions for interspeaker variations ; from 4.75 in female reading speech and male spontaneous speech to 5.12 for male reading speech. In filtered conditions intraspeaker variations resulted with SDDD index between 2.14 for male reading speech to 3.01 for female spontaneous speech. As expected, results in filtered conditions for interspeaker variations showed higher values of SDDD index, from 3.06 for female to 4.71 for male reading speech. The differences between similarity index (R) in intraspeaker variations were statistically significant for female speakers (p<0.0001) and for male speakers (p<0.05) in both spontaneous speech and reading. Results of interspeaker variations showed statistically significant differences in similarity index (R) for male speakers (p<0.0001 in reading and p<0.0001 in spontaneous speech) and female speakers (p<0.0001 in reading and p<0.0001 in spontaneous speech) and statistically significant dissimilarity index (SDDD) differences for male speakers (p<0.0001 in reading and p<0.0001 in spontaneous speech) and female speakers (p<0.0001 in reading and p<0.0001 in spontaneous speech). Overall results of this research show that acoustic- statistical measurement of similarity and dissimilarity indices are a useful method in speaker recognition in forensic phonetic expertise. Further on, results show that speaking conditions should not be neglected in forensic phonetic cases.

Izvorni jezik
Engleski

Znanstvena područja
Filologija



POVEZANOST RADA


Projekti:
130-0000000-0786 - Forenzična fonetika: slušno prepoznavanje i zvučna analiza glasova (Varošanec-Škarić, Gordana, MZOS ) ( CroRIS)

Ustanove:
Filozofski fakultet, Zagreb


Citiraj ovu publikaciju:

Varošanec-Škarić, Gordana; Pavić, Iva; Kišiček, Gabrijela
Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language // 23rd CONFERENCE of IAFPA
Zürich, Švicarska, 2014. (poster, međunarodna recenzija, sažetak, znanstveni)
Varošanec-Škarić, G., Pavić, I. & Kišiček, G. (2014) Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language. U: 23rd CONFERENCE of IAFPA.
@article{article, author = {Varo\v{s}anec-\v{S}kari\'{c}, Gordana and Pavi\'{c}, Iva and Ki\v{s}i\v{c}ek, Gabrijela}, year = {2014}, keywords = {similarity index, dissimilarity index, LTASS, filtered, non-filtered, croatian speakers}, title = {Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language}, keyword = {similarity index, dissimilarity index, LTASS, filtered, non-filtered, croatian speakers}, publisherplace = {Z\"{u}rich, \v{S}vicarska} }
@article{article, author = {Varo\v{s}anec-\v{S}kari\'{c}, Gordana and Pavi\'{c}, Iva and Ki\v{s}i\v{c}ek, Gabrijela}, year = {2014}, keywords = {similarity index, dissimilarity index, LTASS, filtered, non-filtered, croatian speakers}, title = {Comparison of similarity and dissimilarity indices between speech samples in filtered and non- filtered conditions for the speakers of the Croatian language}, keyword = {similarity index, dissimilarity index, LTASS, filtered, non-filtered, croatian speakers}, publisherplace = {Z\"{u}rich, \v{S}vicarska} }




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