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Dialect Accent Features for Establishing Speaker Identity A Case Study /
Dialect Accent Features for Establishing Speaker Identity: A Case Study discusses the subject of forensic voice identification and speaker profiling. Specifically focusing on speaker profiling and using dialects of the Hindi language, widely used in India, the authors have contributed to the body of...
| Clasificación: | Libro Electrónico |
|---|---|
| Autores principales: | , |
| Autor Corporativo: | |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
New York, NY :
Springer New York : Imprint: Springer,
2012.
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| Edición: | 1st ed. 2012. |
| Colección: | SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning,
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| Temas: | |
| Acceso en línea: | Texto Completo |
MARC
| LEADER | 00000nam a22000005i 4500 | ||
|---|---|---|---|
| 001 | 978-1-4614-1138-3 | ||
| 003 | DE-He213 | ||
| 005 | 20220115201659.0 | ||
| 007 | cr nn 008mamaa | ||
| 008 | 120323s2012 xxu| s |||| 0|eng d | ||
| 020 | |a 9781461411383 |9 978-1-4614-1138-3 | ||
| 024 | 7 | |a 10.1007/978-1-4614-1138-3 |2 doi | |
| 050 | 4 | |a TK5102.9 | |
| 072 | 7 | |a TJF |2 bicssc | |
| 072 | 7 | |a UYS |2 bicssc | |
| 072 | 7 | |a TEC008000 |2 bisacsh | |
| 072 | 7 | |a TJF |2 thema | |
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| 082 | 0 | 4 | |a 621.382 |2 23 |
| 100 | 1 | |a Kulshreshtha, Manisha. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 245 | 1 | 0 | |a Dialect Accent Features for Establishing Speaker Identity |h [electronic resource] : |b A Case Study / |c by Manisha Kulshreshtha, Ramkumar Mathur. |
| 250 | |a 1st ed. 2012. | ||
| 264 | 1 | |a New York, NY : |b Springer New York : |b Imprint: Springer, |c 2012. | |
| 300 | |a XII, 60 p. |b online resource. | ||
| 336 | |a text |b txt |2 rdacontent | ||
| 337 | |a computer |b c |2 rdamedia | ||
| 338 | |a online resource |b cr |2 rdacarrier | ||
| 347 | |a text file |b PDF |2 rda | ||
| 490 | 1 | |a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, |x 2191-7388 | |
| 505 | 0 | |a 1. Introduction -- 2. Hindi Language and Its Dialects -- 3. Speech Materials and Instrumentation -- 4. Analysis and Results -- 5. Conclusion. | |
| 520 | |a Dialect Accent Features for Establishing Speaker Identity: A Case Study discusses the subject of forensic voice identification and speaker profiling. Specifically focusing on speaker profiling and using dialects of the Hindi language, widely used in India, the authors have contributed to the body of research on speaker identification by using accent feature as the discriminating factor. This case study contributes to the understanding of the speaker identification process in a situation where unknown speech samples are in different language/dialect than the recording of a suspect. The authors' data establishes that vowel quality, quantity, intonation and tone of a speaker as compared to Khariboli (standard Hindi) could be the potential features for identification of dialect accent. | ||
| 650 | 0 | |a Signal processing. | |
| 650 | 0 | |a Natural language processing (Computer science). | |
| 650 | 0 | |a Pattern recognition systems. | |
| 650 | 1 | 4 | |a Signal, Speech and Image Processing . |
| 650 | 2 | 4 | |a Natural Language Processing (NLP). |
| 650 | 2 | 4 | |a Automated Pattern Recognition. |
| 700 | 1 | |a Mathur, Ramkumar. |e author. |4 aut |4 http://id.loc.gov/vocabulary/relators/aut | |
| 710 | 2 | |a SpringerLink (Online service) | |
| 773 | 0 | |t Springer Nature eBook | |
| 776 | 0 | 8 | |i Printed edition: |z 9781489999399 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461411390 |
| 776 | 0 | 8 | |i Printed edition: |z 9781461411376 |
| 830 | 0 | |a SpringerBriefs in Speech Technology, Studies in Speech Signal Processing, Natural Language Understanding, and Machine Learning, |x 2191-7388 | |
| 856 | 4 | 0 | |u https://doi.uam.elogim.com/10.1007/978-1-4614-1138-3 |z Texto Completo |
| 912 | |a ZDB-2-ENG | ||
| 912 | |a ZDB-2-SXE | ||
| 950 | |a Engineering (SpringerNature-11647) | ||
| 950 | |a Engineering (R0) (SpringerNature-43712) | ||