TTLV: Research on the phonetic and lexical characteristics of several dialects in Hanoi, applied in speech identification and authentication.

INFORMATION ABOUT THE MASTER'S THESIS

1. Student's full name:Tran Quang Thanh          

2. Gender: Male

3. Date of birth: February 21, 1980

4. Place of birth: Hanoi

5. Decision on student admission No. 1883/2010/QD-XHNV-SDH dated October 21, 2010, by the Rector of the University of Social Sciences and Humanities, Vietnam National University, Hanoi.

6. Changes in the training process: None

7. Thesis title:Research on the phonetic and lexical characteristics of several dialects in Hanoi, applied in speech identification and authentication.

8. Major: Linguistics Code: 60.22.02.40

9. Scientific supervisor:Assoc. Prof. Dr. Vu Kim Bang,I work at the Institute of Linguistics.

10. Summary of the thesis results:

This is the first study investigating phonetic-lexical characteristics to distinguish Hanoi dialects for use in speech recognition. The thesis uses phonetic analysis, auditory perception, and specialized software to accurately and scientifically identify the characteristics of Hanoi dialects. The thesis has achieved the following results:

This thesis has studied the segmental phonological characteristics, the characteristics of the tonal system (suprasegmental phonology), and some lexical features of the dialects in Thach That, Soc Son, Dan Phuong, Phuc Tho, and Hoai Duc districts of Hanoi. Through surveys in these five districts, we observed differences in the entire syllable structure. Therefore, dialect zoning in the identification of the origin of speech requires consideration of both vowel and consonant systems, as well as tones. Furthermore, lexical analysis is also a necessary condition that can supplement the identification process.

The project has initially tested the construction of a phonetic characteristic system to quickly identify dialects in Hanoi. The consonant system of the four districts of Soc Son, Dan Phuong, Phuc Tho, and Thach That is basically similar to the Northern dialect, consisting of 19 consonants; the missing consonants are:/ʈ/, /ş/,/The ʐ/ sound is gradually merging into the consonants /z/, /s/, and /c/. In particular, the consonants /z1/, /s1/, and /c1/ are similar to /z/, /s/, and /c/ in articulation, differing only in their greater intensity for emphasis, creating a subtle difference. Specifically, in the consonant system of Hoai Duc district, in addition to the above articulation, there is also a change from tr-t, s, and x-th (this change does not occur in all sounds). All districts have the changes from “o”-oo, “ô”, and “e”-ee”, but the differences in the vowel systems across districts are not significant. Hoai Duc district, however, has the vowel “o” changing to “ơ” in most syllables. This is also a distinct characteristic compared to other dialects. The tonal system exhibits the most distinct features of these dialects; we have modeled the contours of the tones to facilitate rapid tracing.

In examining some local words: Like most other rural areas in the Northern Delta, most districts still retain ancient words such as: giời (sky), tựa (plastic), này (this), cu (son)... However, these words appear sporadically, without a systematic structure, and are mainly used by the elderly. Therefore, in the near future, they will no longer have any etymological value. We only note that Cat Que commune, Hoai Duc district, has a rather different word system. It is these differences in terms of address and local words that make the language in Cat Que richer and more diverse than in some other localities in Hoai Duc district.

With the goal of quickly identifying Hanoi dialects, we have developed clear and concise distinguishing criteria that help accurately identify each dialect through its characteristics of vowels, consonants, tones, and vocabulary. The thesis has achieved the objective of constructing a systematic diagram of dialect characteristics along with a spectral analysis template to facilitate rapid tracing and identification of Hanoi dialects.

Regarding voice recognition activities, the thesis makes the following notable contributions:

+ This thesis initially delves into the analysis of dialects. Currently, the identification of dialect regions in forensic examination activities is limited to the dialects of the three regions of North, Central, and South Vietnam, and some provinces and cities; there is no tracing back to the specific dialect regions of each district and commune.

+ The initial spectral analysis method has focused on the structure of phonemes within syllables. Currently, the main method applied for speech identification is the measurement and analysis of three formant average spectral values ​​within a syllable.

Combining auditory perception with the analysis of pitch and formant parameters for accurate and scientific data is a new direction in phonetic analysis for speech identification, overcoming the current limitation that auditory perception analysis is not linked to spectral analysis, thus reducing objectivity in the identification process.

11. Practical applications:

This thesis has practical applications in voice analysis, serving the work of forensic science. In criminal investigations, collecting the voice of the perpetrator or related individuals for forensic analysis, and on that basis determining the perpetrator and criminal responsibility, is of crucial importance and necessity. Voice identification depends on many factors such as dialect, phonetics, intonation, syllables, regional accents, etc., of the comparison sample as well as the collected voice sounds. To improve the effectiveness of voice analysis, it is necessary to research and clarify these aspects.

12. Future research directions:

This study examines the phonetic and lexical characteristics of several dialects in the Red River Delta (with comparisons to the Hanoi dialect) to support speech analysis in the field of forensic science.

13. Published works related to the thesis:

1). Tran Quang Thanh,A survey of some phonetic and lexical characteristics of the local dialect of Canh Nậu commune, Thạch Thất district, Hanoi., Proceedings of the 3rd International Conference: Research and Teaching of Chinese and Vietnamese Language and Culture, pages 82 to 93.

2). Tran Quang Thanh (co-authored),Phonetic and lexical characteristics of the local dialect of Cat Que commune, Hoai Duc district, Hanoi., National Linguistics Proceedings 2013, pages 183 to 192.

INFORMATION ON MASTER'S THESIS

1. Full name: Tran Quang Thanh 2. Sex: Male

3. Date of birth: February 21, 1980 4. Place of birth: Hanoi

5. Admission decision number: 1883/2010/QD-XHNV-SDH Dated: October 21, 2010

6. Changes in academic process: No

7. Official thesis title:Research on phonetic- vocabulary characteristics of some dialects in Hanoi, application in the assessment of speech recognition.

8. Major: Linguistics 9. Code: 60.22.02.40

10. Supervisors: Associate Professor Doctor Vu Kim Bang, Institute of Linguistics.

11. Summary of the findings of the thesis:

This thesis is the first research about phonetic - vocabulary characteristics to find out different characteristics of Hanoi dialects, applied in expertising to recognize speech. The thesis uses some methodology such as: phonetic analysis, auditory perception, dedicated software to identify features Hanoi dialects correctly.

The thesis research on characteristics of Vietnamese's consonants system, vowel system, 6 tones, vocabulary of dialects in Thach That, Soc Son, Dan Phuong, Phuc Tho, Hoai Duc- Ha Noi. The difference is based on all of syllabes.

The theme was initially tested building featured phonetic's system to rapid assessment dialects in Hanoi. Consonants system in Soc Son, Dan Phuong, Phuc Tho, Thach That is almost the same as the North's dialect: 19 consonants, didn't have/ʈ/, /ş/,/ʐ/. There is a change in Hoai Duc district: tr-t, s,x- th (not in all of syllables). There are some changes in 5 districts: “o”-oo, Ô”, “e”-“ee” and in Hoai Duc has “o” -> “ê”. Tone system touches most obviously localized on dialects (we described in graph).

In the assessment of some local words: Cat Que Commune, Hoai Duc district has the distinction of terms of local dialect ors.

Thesis has built a criteria clear, concise, help to identify each dialect correctly through characteristics of vowels, consonants, tones, vocabulary. Thesis has achieved the goal of building the system diagram characteristic of dialects with spectrum analysis templates to help trace the fast, rapid assessment in Hanoi dialect.

For voice assessment activities:

Thesis initially goes into dialect analysis. Currently, the identification of regional dialects in judicial assessment activities just at three dialects: North dialect, Central dialect, South dialect and some provinces; no trace of the dialect in districts, communes.

Spectral analysis method initially went into the phonological structure of syllables. Currently, methods for detemining speech recognition is mainly applied analytical measurements of 3 formant spectrum in average in both syllables.

The combination of auditory perception and analyzing the parameters pitch, formant for data accurate, science is a new direction in the work of analytical expertise phonetic voice service, ensuring objectivity.

12. Practical applicability, if any:

Thesis valuable in the application of voice assessment, catering for the science- crime.

13. Further research directions, if any:

Research phonetic- vocabulary characteristics of some dialects in the Red river delta (compares with dialects in Hanoi) to serve the voice expertise in the field of science and crime.

14. Thesis-related publications:

1). Tran Quang Thanh, Survey some phonetic - vocabulary characteristics in dialect of Canh Nau commune, Thach That district, Hanoi, Proceedings of the International Workshop: Research and teaching language, culture China- Vietnam III, from page 82 to page 93.

2). Tran Quang Thanh- Nguyen Thi Phuong Thuy, Characteristics of phonetic - vocabulary of dialect in Cat Que commune, Hoai Duc district, Hanoi, National Linguistics Proceeding 2013, from page 183 to page 192.