VOWEL RECOGNITION SYSTEM AND METHOD IN SPEECH TO TEXT APPLICTIONS

• US 20100217591A1
• Filed: 01/08/2008
• Published: 08/26/2010
• Est. Priority Date: 01/09/2007
• Status: Abandoned Application

• Current Assignee: Avraham Shpigel
• Original Assignee: Avraham Shpigel
• Inventors: Shpigel, Avraham
• Application Number:
  US12/448,281
• Publication Number:
  US 20100217591A1
• Time in Patent Office: Days
• US Class Current: 704/235
• CPC Class Codes: G10L 15/32 Multiple recognisers used in sequence or in parallel; Score combination systems therefor, e.g. voting systems
• CPC Class Codes: G10L 2015/088 Word spotting

Abstract

The present invention provides systems, software and methods method for accurate vowel detection in speech to text conversion, the method including the steps of applying a voice recognition algorithm to a first user speech input so as to detect known words and residual undetected words; and detecting at least one undetected vowel from the residual undetected words by applying a user-fitted vowel recognition algorithm to vowels from the known words so as to accurately detect the vowels in the undetected words in the speech input, to enhance conversion of voice to text.

Claims

1. A method for accurate vowel detection in speech to text conversion, the method comprising the steps of:

a) applying a voice recognition algorithm to a first user speech input so as to detect known words and residual undetected words; and

b) detecting at least one undetected vowel from said residual undetected words by applying a user-fitted vowel recognition algorithm to vowels from said known words so as to accurately detect said vowels in said undetected words in said speech input.

2. A method according to claim 1, wherein said voice recognition algorithm is one of:

Continuous Speech Recognition, Large Vocabulary Continuous Speech Recognition, Speech-To-Text, Spontaneous Speech Recognition and speech transcription.

3. A method according to claim 1, wherein said detecting vowels step comprises:

a) creating reference vowel formants from the detected known words;

b) comparing vowel formants of said undetected word to reference vowel formants; and

c) selecting at least one closest vowel to said reference vowel so as to detect said at least one undetected vowel.

4. A method according to claim 3, wherein said creating reference vowel formants step comprises:

a) calculating vowel formants from said detected known words;

b) extrapolating formant curves comprising data points for each of said calculated vowel formants; and

c) selecting representative formants for each vowel along the extrapolated curve.

5. A method according to claim 4, wherein the extrapolating step comprises performing curve fitting to said data points so as to obtain formant curves.

6. A method according to claim 4, wherein the extrapolating step comprises using an adaptive method to update the reference vowels formant curves for each new formant data point.

9. A method according to claim 1, further comprising creating syllables of said undetected words based on vowel anchors.

13. A method according to any of claims 1-12, further comprising, converting the user speech input into text.

14. A method according to claim 13, wherein said text comprises at least one of the following:

detected words, syllables based on vowel anchors, and meaningless words.

15. A method according to claim 13, wherein said user speech input may be detected from any one or more of the following inputting sources:

a microphone, a microphone in any telephone device, an online voice recording device, an offline voice repository, a recorded broadcast program, a recorded lecture, a recorded meeting, a recorded phone conversation, recorded speech, and multi-user speech.

17. A method according to claim 13, further comprising relaying of said text to a second user device selected from at least one of:

a cellular phone, a line phone, an IP phone, an IP/PBX phone, a computer, a personal computer, a server, a digital text depository, and a computer file.

18. A method according to claim 17, wherein said relaying step is performed via at least one of:

a cellular network, a PSTN network, a web network, a local network, an IP network, a low bit rate cellular protocol, a CDMA variation protocol, a WAP protocol, an email, an SMS, a disk-on-key, a file transfer media or combinations thereof.

20. A method according to claim 13, for use in transcribing at least one of an online meeting through cellular handsets, an online meeting through IP/PBX phones, an online phone conversation, offline recorded speech, and other recorded speech, into text.

24. A method according to any of claims 1-23, wherein said method is applied to an application selected from:

transcription in cellular telephony, transcription in IP/PBX telephony, off-line transcription of speech, call center efficient handling of incoming calls, data mining of calls at call centers, data mining of voice or sound databases at internet websites, text beeper messaging, cellular phone hand-free SMS messaging, cellular phone hand-free email, low bit rate conversation, and in assisting disabled user communication.

25. A method according to any of claims 1-24, wherein said detecting step comprises representing a vowel as one of:

a single letter representation and a double letter representation.

26. A method according to claim 1-24, wherein said creating syllables comprises the linking of consonant to anchor vowel as one of:

tail of previous syllable or head on next syllable according to its duration.

27. A method according to claim 1-24, wherein said creating syllables comprising joined successive vowels in a single syllable.

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29. A method for accurate vowel detection in speech to text conversion, substantially as shown in the figures.

30. A system for accurate vowel detection in speech to text conversion, substantially as shown in the figures.