System and method for preparing a pronunciation dictionary for a text-to-speech voice
View Patent ↗Disclosed are various elements of a toolkit used for generating a TTS voice for use in a spoken dialog system. The embodiments in each case may be in the form of the system, a computer-readable medium or a method for generating the TTS voice. One embodiment of the invention relates to a method of generating a database for a TTS voice. The method comprises matching every spoken word associated with a TTS voice database with a smallest set of possible pronunciations for each word. The smallest set is generated by automatically determining a dialect and linguistic context using linguistic rules, empirically determining idiosyncratic speaker characteristics and determining a subject domain. The method further comprises dynamically generating a pronunciation dictionary on a word-by-word basis using the smallest set.
1. A computer-implemented method of generating a database for a text-to-speech (TTS) voice, the method comprising:
matching via a processor every spoken word associated with a TTS voice database with a smallest set of possible pronunciations for each word, the smallest set being generated by:
automatically via the processor determining a dialect and linguistic context using linguistic rules;
empirically determining idiosyncratic speaker characteristics; and
determining a subject domain; and
dynamically generating a pronunciation dictionary on a word-by-word basis using the smallest set.
2. The computer-implemented method of claim 1 , wherein the dynamically generated pronunciation dictionary accounts for reading errors and idiosyncrasies of speakers.
3. The computer-implemented method of claim 1 , further comprising:
forcing an automatic speech recognition (ASR) module to choose from a subset of one or more variants of a word when more than one pronunciation variants exists for a given word.
4. The computer-implemented method of claim 1 , further comprising:
automatically generating phonetic variant pronunciations for the pronunciation dictionary for any given word.
5. The computer-implemented method of claim 4 , wherein generating phonetic variant pronunciations is based on a surrounding linguistic context for each word.
6. The computer-implemented method of claim 1 , wherein the linguistic contexts are associated with foreign languages.
7. The computer-implemented method of claim 1 , further comprising:
tracking whether each lexical pronunciation is either machine generated or human entered.
8. The computer-implemented method of claim 7 , further comprising:
flagging machine generated lexical pronunciations for human inspection.
9. The computer-implemented method of claim 1 , further comprising adding default pronunciations to the pronunciation dictionary based on TTS letter-to-sound rules.
10. A computing device for generating a database for a text-to-speech (TTS) voice, the computing device comprising:
a module configured to control the processor to match every spoken word associated with a TTS voice database with a smallest set of possible pronunciations for each word, the smallest set being generated by:
automatically via the processor determining a dialect and linguistic context using linguistic rules;
empirically determining idiosyncratic speaker characteristics; and
determining a subject domain; and
a module configured to control the processor to dynamically generate a pronunciation dictionary on a word-by-word basis using the smallest set.
11. The computing device of claim 10 , wherein the dynamically generated pronunciation dictionary accounts for reading errors and idiosyncrasies of speakers.
12. The computing device of claim 10 , further comprising:
a module configured to force an automatic speech recognition (ASR) module to choose from a subset of one or more variants of a word when more than one pronunciation variants exist for a given word.
13. The computing device of claim 10 , further comprising:
a module configured to automatically generate phonetic variant pronunciations for the pronunciation dictionary for any given word.
14. The computing device of claim 13 , wherein generating phonetic variant pronunciations is based on a surrounding linguistic context for each word.
15. The computing device of claim 9 , wherein the linguistic contexts are associated with foreign languages.
16. The computing device of claim 10 , further comprising:
a module configured to track whether each lexical pronunciation is either machine generated or human entered; and
a module configured to flag machine generated lexical pronunciations for human inspection.
17. The computing device of claim 10 , further comprising a module configured to add default pronunciations to the pronunciation dictionary based on TTS letter-to-sound rules.
18. A tangible computer-readable storage medium storing instructions for controlling a computing device for generating a database for a text-to-speech (TTS) voice, the instructions comprising:
matching via a processor every spoken word associated with a TTS voice database with a smallest set of possible pronunciations for each word, the smallest set being generated by:
automatically determining a dialect and linguistic context using linguistic rules;
empirically determining idiosyncratic speaker characteristics; and
determining a subject domain; and
dynamically generating a pronunciation dictionary on a word-by-word basis using the smallest set.
19. The computer-readable medium of claim 18 , wherein the dynamically generated pronunciation dictionary accounts for reading errors and idiosyncrasies of speakers.
20. The computer-readable medium of claim 19 , the instructions further comprising:
forcing an automatic speech recognition (ASR) module to choose from a subset of one or more variants of a word when more than one pronunciation variants exists for a given word.