CONVERTING TEXT INTO SPEECH FOR SPEECH RECOGNITION

• US 20120166197A1
• Filed: 03/04/2012
• Published: 06/28/2012
• Est. Priority Date: 11/30/2010
• Status: Active Grant

• Current Assignee: Cerence Operating Company (Cerence Inc.)
• Original Assignee: International Business Machines Corporation
• Inventors: Fu, Guo Kang, Han, Zhao Bing, Jia, Bin, Liu, Ying
• Granted Patent: US 8,620,656 B2
• Time in Patent Office: Days
• US Class Current: 704/254
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams

Abstract

The present invention discloses converting a text form into a speech. In the present invention, partial word lists of a data source are obtained by parsing the data source in parallel or in series. The partial word lists are then compiled to obtain phoneme graphs corresponding, respectively, to the partial word lists, and then the obtained phoneme graphs are combined. Speech recognition is then conducted according to the combination results. According to the present invention, computational complexity may be reduced and recognition efficiency may be improved during speech recognition.

Claims

1. A computer-implemented method of converting a text form into a speech, comprising:

parsing a data source in the text form to obtain partial word lists of the data source;

compiling the partial word lists to obtain phoneme graphs corresponding, respectively, to the partial word lists;

combining the obtained phoneme graphs; and

conducting speech recognition according to a result of the combination.

2. The method according to claim 1, further comprising:

judging whether the result of the combination has sufficient information to conduct speech recognition; and

responsive to judging that there is sufficient information, starting the speech recognition.

3. The method according to claim 1, wherein under a circumstance that the data source changes, continuing the combination of the obtained phoneme graphs and caching a result of the continued combination.

4. The method according to claim 1, wherein parsing a data source in the text form to obtain partial word lists of the data source comprises:

segmenting the data source to obtain segments of the data source, and

parsing the data source segments, in parallel, to obtain the partial word lists of the data source segments.

5. The method according to claim 1, wherein parsing a data source in the text form to obtain partial word lists of the data source comprises:

parsing the data source, in series, to obtain the partial word lists of the data source.

6. The method according to claim 1, further comprising:

optimizing the result of the combination.

7. The method according to claim 1, wherein compiling partial word lists to obtain phoneme graphs corresponding, respectively, to the partial word lists comprises:

applying a grammar template with respect to a selected partial word list to obtain a grammar corresponding to the selected partial word list;

determining a phoneme list of the grammar;

creating a corresponding phoneme tree according to the phoneme list; and

optimizing the phoneme tree to obtain a corresponding phoneme graph.