Personal directory service
A method of providing navigation directions includes receiving, at a user terminal, a query spoken by a user, wherein the query spoken by the user includes a speech utterance indicating (i) a category of business, (ii) a name of the business, and (iii) a location at which or near which the business is disposed; identifying, by processing hardware, the business based on the speech utterance; and providing navigation directions to the business via the user terminal.
1. A method of providing navigation directions, the method comprising:
receiving, at a user terminal, a query spoken by a user, wherein the query spoken by the user includes a speech utterance indicating (i) a category of business, (ii) a name of the business, (iii) a name of a geographic location, and (iv) an indication that the business is located near the geographic location;
identifying, by processing hardware, the business based on the speech utterance;
and providing navigation directions to the business via the user terminal.
2. The method of claim 1 , further comprising:
prompting the user to provide a geographical location.
3. The method of claim 1 , further comprising, after recognizing the identifier of the specific business, providing information about the specific business to the user.
4. The method of claim 3 , wherein providing information about the specific business comprises providing a phone number of the specific business.
5. The method of claim 1 wherein recognizing the identifier of the specific business comprises biasing a speech recognition module towards one or more language models associated with the type of business.
6. The method of claim 1 , further comprising:
selecting, from a set of speech recognition language models for recognizing speech, a subset of speech recognition language models, wherein the subset of speech recognition language models is selected based on the location.
7. The method of claim 6 , wherein the set of speech recognition language models includes N-grams in which a probability of a word in a vocabulary is estimated by counting the occurrences of that word in the context of a last N words.
8. The method of claim 6 , wherein the set of speech recognition language models includes phrase-list grammars in which a probability of a phrase is estimated by counting the occurrences of the phrase.
9. A system, comprising:
one or more processors; and
memory storing instructions that when executed by at least some of the one or more processors effectuates operations comprising:
receiving, from a user terminal, a query spoken by a user, wherein the query spoken by the user includes a speech utterance indicating (i) a category of business, (ii) a name of the business, (iii) a name of a geographic location, and (iv) an indication that the business is located near the geographic location;
identifying, by the one or more processors, the business based on the speech utterance; and
providing navigation directions to the business to the user terminal.
10. The system of claim 9 , wherein the speech utterance includes a name of the geographic location and an indication that the business is located near the geographic location.
11. The system of claim 9 , wherein the speech utterance includes a name of the geographic location and an indication that the business is located near the geographic location.
12. The system of claim 9 , wherein the operations further comprise:
prompting the user to provide a geographical location.
13. The system of claim 9 , wherein the operations further comprise:
after recognizing the identifier of the specific business, providing information about the specific business to the user.
14. The system of claim 13 , wherein the operations further comprise:
providing information about the specific business comprises providing a phone number of the specific business.
15. The system of claim 13 , wherein recognizing the identifier of the specific business comprises biasing a speech recognition module towards one or more language models associated with the type of business.
16. The system of claim 9 , wherein the operations further comprise:
selecting, from a set of speech recognition language models for recognizing speech, a subset of speech recognition language models, wherein the subset of speech recognition language models is selected based on the location.
17. The system of claim 16 , wherein the set of speech recognition language models includes N-grams in which a probability of a word in a vocabulary is estimated by counting the occurrences of that word in the context of a last N words.
18. The system of claim 16 , wherein the set of speech recognition language models includes phrase-list grammars in which a probability of a phrase is estimated by counting the occurrences of the phrase.