System and method of lattice-based search for spoken utterance retrieval
View Patent ↗A system and method are disclosed for retrieving audio segments from a spoken document. The spoken document preferably is one having moderate word error rates such as telephone calls or teleconferences. The method comprises converting speech associated with a spoken document into a lattice representation and indexing the lattice representation of speech. These steps are performed typically off-line. Upon receiving a query from a user, the method further comprises searching the indexed lattice representation of speech and returning retrieved audio segments from the spoken document that match the user query.
1. A method comprising:
receiving a query from a user, the query comprising a query word;
retrieving, based on the query, a spoken document;
converting, via a processor, the query word into query word phoneme strings based on a query word pronunciation of the query word;
searching a phoneme-based index of a lattice representation of the spoken document for phoneme strings that correspond to the query word phoneme strings to yield search results, the phoneme-based index comprising an index for each arc label that records a lattice number, an input-state of each labeled arc, a probability mass leading to each state, a probability associated with each arc, and an index for a next state; and
returning audio segments from the spoken document that correspond to the query based on the search results.
2. The method of claim 1 , wherein the spoken document is generated from a telephone call.
3. The method of claim 1 , wherein when the query word pronunciation is not in a baseline pronunciation dictionary, generating the query word pronunciation via a text-to-speech module.
4. The method of claim 1 , further comprising obtaining a phonetic representation of speech utterances associated with the spoken document by using a hybrid language model for out-of-vocabulary word detection.
5. The method of claim 4 , wherein the hybrid language model is a combination of a phoneme level language model and a word-level language model.
6. The method of claim 1 , wherein the query comprises one of text and speech.
7. The method of claim 1 , wherein the phoneme-based index of the lattice representation of the spoken document is both a phoneme-based word index and a phoneme-based sub-word index.
8. The method of claim 1 , wherein the phoneme-based index of the lattice representation of the spoken document is both a word index and a sub-word index.
9. The method of claim 8 , wherein the word index and the sub-word index are generated based on high word error rate speech from the spoken document.
10. A system comprising:
a processor; and
a computer-readable storage medium having instructions stored which, when executed by the processor, cause the processor to perform operations comprising:
receiving a query from a user, the query comprising a query word;
retrieving, based on the query, a spoken document;
converting the query word into phoneme strings based on a word pronunciation of the query word;
searching a phoneme-based indexed lattice representation of the spoken document for phoneme strings that correspond to the phoneme strings to yield search results, the phoneme-based indexed lattice representation comprising an index for each arc label that records a lattice number, an input-state of each labeled arc, a probability mass leading to each state, a probability of each arc, and an index for a next state; and
returning audio segments from the spoken document that match the query based on the search results.
11. The system of claim 10 , wherein the spoken document is generated from a telephone call.
12. The system of claim 10 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising:
upon receiving the query from the user, generating text-to-speech query word pronunciations when the query word pronunciation is not in a baseline pronunciation dictionary.
13. The system of claim 10 , the computer-readable storage medium having additional instructions stored which result in the operations further comprising:
upon receiving the query from the user, generating a phonetic representation of speech utterances associated with the spoken document by using a hybrid language model for out-of-vocabulary word detection.
14. The system of claim 13 , wherein the hybrid language model is a combination of a phoneme level language model and a word-level language model.
15. The system of claim 10 , wherein the query comprises one of text and speech.
16. A computer-readable storage medium device having instructions stored which, when executed by a computing device, cause the computing device to perform operations comprising:
receiving a query from a user, the query comprising a query word;
retrieving, based on the query, a spoken document;
converting the query word into phoneme strings based on a query word pronunciation of the query word;
searching a phoneme-based indexed lattice representation of the spoken document for phoneme strings that correspond to the query word phoneme strings, to yield search results, the phoneme-based index comprising an index for each arc label that records a lattice number, an input-state of each labeled arc, a probability mass leading to each state, a probability of the arc itself, and an index for a next state; and
returning audio segments from the spoken document that correspond to the query based on the search results.
17. The computer-readable storage device of claim 16 , wherein the phoneme-based indexed lattice representation of the spoken document is both a phoneme-based word index and a phoneme-based sub-word index.
18. The computer-readable storage device of claim 17 , having additional instructions stored which result in the perations further comprising searching the phoneme-based sub-word index only after not finding corresponding results upon searching the phoneme-based word index.
19. The computer-readable storage device of claim 16 , wherein the phoneme-based index of the lattice representation of the spoken document is both a word index and a sub-word index.
20. The computer-readable storage device of claim 19 , wherein the word index and the sub-word index are generated based on high word error rate speech from the spoken document.