Voice recognition by computer:
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Buch |
| Sprache: | English |
| Veröffentlicht: |
Marburg
Tectum-Verl.
2003
|
| Ausgabe: | 1. Aufl. |
| Schlagworte: | |
| Online-Zugang: | Inhaltsverzeichnis |
| Beschreibung: | Zugl.: Wiesbaden, Fachhochsch., Diss., 2003 |
| Beschreibung: | 110 S. zahlr. graph. Darst. : 21 cm |
| ISBN: | 382888492X |
Internformat
MARC
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| 300 | |a 110 S. |b zahlr. graph. Darst. : 21 cm | ||
| 336 | |b txt |2 rdacontent | ||
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| 338 | |b nc |2 rdacarrier | ||
| 500 | |a Zugl.: Wiesbaden, Fachhochsch., Diss., 2003 | ||
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| 655 | 7 | |0 (DE-588)4113937-9 |a Hochschulschrift |2 gnd-content | |
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| 943 | 1 | |a oai:aleph.bib-bvb.de:BVB01-014176489 | |
Datensatz im Suchindex
| _version_ | 1826204857186385920 |
|---|---|
| adam_text |
CONTENTS
FOREWORD
1
INTRODUCTION
7
1.1
PROCESSING
OF
SPEECH
SIGNAL
.
7
1.2
SOME
HISTORY
AND
PRESENT
STATE
OF
SPEECH
PROCESSING
.
8
1.3
PUBLIC
SPEECH
DATABASES
.
10
1.4
TASK
ORIENTED
APPLICATIONS
OF
AUTOMATIC
VOICE
RECOGNITION
.
12
1.5
SPEECH
PROCESSING
AND
RECOGNITION
BY
HUMANS
.
14
1.6
PHONEMIC
NOTATION
OF
INDIVIDUAL
LANGUAGES
.
16
2
SIGNAL
PROCESSING
TECHNIQUES
IN
SPEECH
RECOGNITION
19
2.1
INTRODUCTION
.
19
2.2
PRE-PROCESSING
OF
THE
SPEECH
SIGNAL
.
20
2.2.1
DIGITALIZATION
.
20
2.2.2
PREEMPHASIS
.
21
2.2.3
FRAME
BLOCKING
.
21
2.2.4
WINDOWING
.
22
2.3
TIME
DOMAIN
METHODS
.
24
2.4
SPECTRAL
DOMAIN
METHODS
.
26
2.4.1
FREQUENCY-WARPED
FILTER
BANK
.
26
2.4.2
CEPSTRAL
ANALYSIS
.
28
2.5
LINEAR
PREDICTION
AND
DERIVED
METHODS
.
29
2.5.1
LINEAR
PREDICTIVE
ANALYSIS
.
29
2.5.2
RELATIONS
BETWEEN
VARIOUS
LP-DERIVED
SPEECH
PARAMETERS
.
31
2.6
FUNDAMENTAL
FREQUENCY
ESTIMATION
.
34
2.6.1
AMDF
ALGORITHM
.
35
2.6.2
CENTER-CLIPPING
ALGORITHM
.
36
2.7
PARAMETER
TRANSFORM
BY
DIFFERENTIATION
.
38
2.8
ENDPOINT
DETECTION
.
39
2.9
SPEECH
ENHANCEMENT
.
41
3
METHODS
OF
SPEAKER
RECOGNITION
43
3.1
SPEAKER
RECOGNITION
BY
HUMANS
.
43
3.2
VOICEPRINT
ANALYSIS
.
44
3.3
IDEAL
VOICE
RECOGNITION
.
46
3.4
PRINCIPLES
OF
SPEAKER
RECOGNITION
TECHNOLOGY
.
48
3.5
FEATURE
PARAMETERS
.
52
3.5.1
EVALUATION
OF
PARAMETERS
.
53
3.5.2
NORMALIZATION
TECHNIQUES
.
55
3.6
TEXT-DEPENDENT
SPEAKER
RECOGNITION
METHODS
.
55
3.6.1
DTW-BASED
METHODS
.
55
3.6.2
HMM-BASED
METHODS
.
58
3.7
TEXT-INDEPENDENT
SPEAKER
RECOGNITION
METHODS
.
58
3.7.1
LONG-TERM-STATISTICS-BASED
METHODS
.
58
3.7.2
VQ-BASED
METHODS
.
59
3.7.3
ERGODIC-HMM-BASED
METHODS
.
60
3.7.4
GAUSSIAN
MIXTURE
SPEAKER
MODELS
.
61
4
EXPERIMENTS
AND
RESULTS
63
4.1
SPEECH
LABELING
FOR
SPEAKER
RECOGNITION
.
63
4.1.1
INTRODUCTION
.
63
4.1.2
FONLABEL
PROGRAM
.
64
4.1.3
EFFECTIVENESS
OF
VARIOUS
PHONEMES
FOR
SPEAKER
RECOGNITION
.
66
4.1.4
CONCLUSIONS
.
68
4.2
ESTIMATION
OF
VOCAL
TRACT
LONG-TIME
SPECTRUM
.
69
4.2.1
INTRODUCTION
.
69
4.2.2
LONG-TIME
LPC
SPECTRUM
.
70
4.2.3
SPEECH
DATA
.
70
4.2.4
EXPERIMENTAL
RESULTS
.
70
4.2.5
SPEAKER
NORMALIZATION
BY
LONG-TIME
SPECTRUM
.
74
4.2.6
CONCLUSIONS
.
75
4.3
ANALYSIS
OFLMITATOR
'
S
VOICE
AND
SEX
IDENTIFICATION
.
76
4.3.1
INTRODUCTION
.
76
4.3.2
EFFECTIVENESS
OF
FEATURES
IN
TEXT-DEPENDENT
SPEAKER
RECOGNITION
.
76
4.3.3
UNCOVERING
AN
IMITATOR
.
78
4.3.4
AUTOMATIC
GENDER
DISTINCTION
BY
VOICE
.
84
4.3.5
CONCLUSIONS
.
88
4.4
EFFECTS
OF
EMOTIONAL
STRESS
AND
ALCOHOL
ON
SPEECH
.
89
4.4.1
INTRODUCTION
.
89
4.4.2
SPEECH
DATA
.
90
4.4.3
EFFECTS
OF
STRESS
ON
SPEECH
.
91
4.4.4
EFFECTS
OF
ALCOHOL
ON
SPEECH
.
94
4.4.5
CONCLUSIONS
.
96
5
VOICE
FOR
BIOMETRIC
APPLICATIONS
97
5.1
SECURITY
BIOMETRICAL
VERIFICATORS
.
97
5.2
FORENSIC
SPEAKER
RECOGNITION
.
98
5.2.1
LISTENER
METHOD
.
99
5.2.2
SPECTROGRAPHIC
METHOD
.
99
5.2.3
SEMI-AUTOMATIC
METHOD
.
100
6
SUMMARY
AND
FUTURE
OF
VOICE
RECOGNITION
101
7
REFERENCES
103
APPENDIX:
PROFESSIONAL
ASSOCIATIONS
(ISCA,
ELRA,
IAFP)
108
ABOUT
THE
AUTHOR
109 |
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| illustrated | Illustrated |
| index_date | 2024-07-02T13:20:57Z |
| indexdate | 2025-03-10T11:04:28Z |
| institution | BVB |
| isbn | 382888492X |
| language | English |
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| spelling | Sigmund, Milan Verfasser aut Voice recognition by computer von Milan Sigmund 1. Aufl. Marburg Tectum-Verl. 2003 110 S. zahlr. graph. Darst. : 21 cm txt rdacontent n rdamedia nc rdacarrier Zugl.: Wiesbaden, Fachhochsch., Diss., 2003 Automatische Sprechererkennung (DE-588)4143704-4 gnd rswk-swf (DE-588)4113937-9 Hochschulschrift gnd-content Automatische Sprechererkennung (DE-588)4143704-4 s DE-604 DNB Datenaustausch application/pdf http://bvbr.bib-bvb.de:8991/F?func=service&doc_library=BVB01&local_base=BVB01&doc_number=014176489&sequence=000001&line_number=0001&func_code=DB_RECORDS&service_type=MEDIA Inhaltsverzeichnis |
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| subject_GND | (DE-588)4143704-4 (DE-588)4113937-9 |
| title | Voice recognition by computer |
| title_auth | Voice recognition by computer |
| title_exact_search | Voice recognition by computer |
| title_exact_search_txtP | Voice recognition by computer |
| title_full | Voice recognition by computer von Milan Sigmund |
| title_fullStr | Voice recognition by computer von Milan Sigmund |
| title_full_unstemmed | Voice recognition by computer von Milan Sigmund |
| title_short | Voice recognition by computer |
| title_sort | voice recognition by computer |
| topic | Automatische Sprechererkennung (DE-588)4143704-4 gnd |
| topic_facet | Automatische Sprechererkennung Hochschulschrift |
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