US5953701A
Expired / Lapsed
US
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Speech recognition models combining gender-dependent and gender-independent phone states and using phonetic-context-dependence
Assignee: International Business Machines Corp
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Filing: 1998-01-22
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Granted: 1999-09-14
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Expires: 2018-01-22
Abstract
Abstract A method of gender dependent speech recognition includes the steps of identifying phone state models common to both genders, identifying gender specific phone state models, identifying a gender of a speaker and recognizing acoustic data from the speaker. A method of constructing a gender-dependent speech recognition model includes the steps of providing training data of a known gender, aligning the training data, tagging the training data with a gender to create gender-tagged data, determining a gender question at a node to determine gender dependence of the gender-tagged data, determining a phonetic context question at the node to determine phonetic context dependence of the gender-tagged data, determining a highest value of an evaluation function between the gender dependence and the phonetic context dependence to determine which dependence is a dominant dependence, splitting the data of the dominant dependence into child nodes according to likelihood criteria, comparing the highest value with a threshold value to determine if additional splitting is necessary, repeating theses steps for each child node until the highest value is below the threshold value and counting the nodes having gender dependence to determine an overall gender dependence level. A gender-dependent speech recognition system includes an input device for inputting speech to a preprocessor. The preprocessor converts the speech into acoustic data, and a processor for identifies gender-dependent phone state models and phone state modes common to both genders. The phone state models are stored in a memory device wherein the processor recognizes the speech in accordance with the phone state models.
Inventors
- 👤 Chalapathy Venkata Neti
- 👤 Salim Estephan Roukos
Bibliographic Details
Application Number
—
Jurisdiction
US
Data Source
google_patents
Last Synchronized
2026-11-09 12:21
CPC Classifications
G; G10; G10L; G10L15/00; G10L15/06; G10L15/065; G10L15/07; G10L15/08; G10L15/14; G10L15/142
Claims Analysis
Total Claims: 22
Claim 1
Independent Claim
44 words
A method of gender dependent speech recognition comprising the steps of: identifying phone state models common to both genders; identifying gender specific phone state models; identifying a gender of a speaker; and recognizing acoustic data from the speaker based on the phone state models.
Claim 2
Independent Claim
44 words
A method of gender dependent speech recognition comprising the steps of: identifying phone state models common to both genders; identifying gender specific phone state models; identifying a gender of a speaker; and recognizing acoustic data from the speaker based on the phone state models.
Claim 3
Dependent Claim
63 words
The method of gender dependent speech recognition as recited in claim 1, wherein the step of identifying gender further comprises the steps of: setting the gender to a first gender; calculating a confidence based on the first gender; setting the gender to a second gender; calculating a confidence of the second gender; and determining gender by selecting the confidence with a higher value.
Claim 4
Dependent Claim
23 words
The method of gender dependent speech recognition as recited in claim 2, wherein a likelihood for each gender is used to determine gender.
Claim 5
Dependent Claim
36 words
The method of gender dependent speech recognition as recited in claim 2, wherein the steps of calculating the confidences include calculating the confidence by taking the product of word confidences for every word in a hypothesis.
Claim 6
Dependent Claim
25 words
The method of gender dependent speech recognition as recited in claim 1, wherein the step of identifying gender includes performing a maximum a posteriori adaptation.
Claim 7
Dependent Claim
31 words
The method of gender dependent speech recognition as recited in claim 1, wherein the step of identifying gender includes comparing Gaussian prototypes to a codebook of Gaussian prototypes to determine gender.
Claim 8
Dependent Claim
30 words
The method of gender dependent speech recognition as recited in claim 6, wherein the step of comparing Gaussian prototypes includes clustering Gaussian prototypes to create the codebook of Gaussian prototypes.
Claim 9
Dependent Claim
42 words
The method of gender dependent speech recognition as recited in claim 1, wherein the step of identifying gender specific phone state models further comprises the step of asking a gender question at a node to determine gender dependence of the acoustic data.
Claim 10
Independent Claim
115 words
A method of constructing a gender-dependent speech recognition model comprising the steps of: a) aligning acoustic data with a gender independent system b) asking a gender question at a node to determine gender dependence of the acoustic data; c) asking a phonetic context question at the node to determine phonetic context dependence of the acoustic data; d) determining a highest value of an evaluation function between the gender dependence and the phonetic context dependence to determine which dependence is a dominant dependence; e) splitting the data of the dominant dependence into child nodes according to the question of dominant dependence; and f) repeating steps b-e for each child node until a threshold criterion is met.
Claim 11
Independent Claim
115 words
A method of constructing a gender-dependent speech recognition model comprising the steps of: a) aligning acoustic data with a gender independent system b) asking a gender question at a node to determine gender dependence of the acoustic data; c) asking a phonetic context question at the node to determine phonetic context dependence of the acoustic data; d) determining a highest value of an evaluation function between the gender dependence and the phonetic context dependence to determine which dependence is a dominant dependence; e) splitting the data of the dominant dependence into child nodes according to the question of dominant dependence; and f) repeating steps b-e for each child node until a threshold criterion is met.
Claim 12
Dependent Claim
32 words
The method of constructing a gender-dependent speech recognition model as recited in claim 9, further comprises the step of counting the nodes having gender dependence to determine an overall gender dependence level.
Claim 13
Dependent Claim
42 words
The method of constructing a gender-dependent speech recognition model as recited in claim 9, wherein the step of repeating steps until a threshold criterion is met includes: comparing the highest value with a threshold value to determine if additional splitting is necessary.
Claim 14
Dependent Claim
43 words
The method of constructing a gender-dependent speech recognition model as recited in claim 9, wherein the step of asking the phonetic context question includes the step of asking the phonetic context question at each position between -5 to +5, inclusive from the node.
Claim 15
Independent Claim
148 words
A method of constructing a gender-dependent speech recognition model comprising the steps of: a) providing training data of a known gender; b) aligning the training data; c) tagging the training data with a gender to create gender-tagged data; d) asking a gender question at a node to determine gender dependence of the gender-tagged data; e) asking a phonetic context question at the node to determine phonetic context dependence of the gender-tagged data; f) determining a highest value of an evaluation function between the gender dependence and the phonetic context dependence to determine which dependence is a dominant dependence; g) splitting the data of the dominant dependence into child nodes according to a likelihood criterion; h) comparing the highest value with a threshold value to determine if additional splitting is necessary; and i) repeating steps d-h for each child node until the highest value is below the threshold value.
Claim 16
Independent Claim
148 words
A method of constructing a gender-dependent speech recognition model comprising the steps of: a) providing training data of a known gender; b) aligning the training data; c) tagging the training data with a gender to create gender-tagged data; d) asking a gender question at a node to determine gender dependence of the gender-tagged data; e) asking a phonetic context question at the node to determine phonetic context dependence of the gender-tagged data; f) determining a highest value of an evaluation function between the gender dependence and the phonetic context dependence to determine which dependence is a dominant dependence; g) splitting the data of the dominant dependence into child nodes according to a likelihood criterion; h) comparing the highest value with a threshold value to determine if additional splitting is necessary; and i) repeating steps d-h for each child node until the highest value is below the threshold value.
Claim 17
Dependent Claim
32 words
The method of constructing a gender-dependent speech recognition model as recited in claim 13, further comprises the step of counting the nodes having gender dependence to determine an overall gender dependence level.
Claim 18
Dependent Claim
43 words
The method of constructing a gender-dependent speech recognition model as recited in claim 13, wherein the step of asking the phonetic context question includes the step of asking the phonetic context question at each position between -5 to +5, inclusive from the node.
Claim 19
Dependent Claim
62 words
A gender-dependent speech recognition system comprising: an input device for inputting speech to a preprocessor, the preprocessor converting speech into acoustic data; and a processor for identifying gender-dependent phone state models and phone state modes common to both genders, the phone state models being stored in a memory device wherein the processor recognizes the speech in accordance with the phone state models.
Claim 20
Dependent Claim
62 words
A gender-dependent speech recognition system comprising: an input device for inputting speech to a preprocessor, the preprocessor converting speech into acoustic data; and a processor for identifying gender-dependent phone state models and phone state modes common to both genders, the phone state models being stored in a memory device wherein the processor recognizes the speech in accordance with the phone state models.
Claim 21
Dependent Claim
30 words
The gender-dependent speech recognition system as recited in claim 16, wherein the gender-dependent phone state models reduce an amount of memory storage space needed to store the phone state models.
Claim 22
Dependent Claim
16 words
The gender-dependent speech recognition system as recited in claim 16, wherein the processor includes a computer.
References Cited (Backward Citations)
USPTO Annuity & Maintenance Windows
| Annuity Stage | Window Opens | Payment Deadline | Surcharge Period Until | Estimated Fee | Status |
|---|---|---|---|---|---|
| 3.5 Years (Year 4) | 2002-09-13 | 2003-03-15 | 2003-09-14 | $2000.00 | Window Closed / Lapsed |
| 7.5 Years (Year 8) | 2006-09-13 | 2007-03-15 | 2007-09-14 | $3760.00 | Window Closed / Lapsed |
| 11.5 Years (Year 12) | 2010-09-13 | 2011-03-15 | 2011-09-14 | $7700.00 | Window Closed / Lapsed |