Handling of acronyms and digits in a speech recognition and text-to-speech engine

• US 20050267757A1
• Filed: 05/27/2004
• Published: 12/01/2005
• Est. Priority Date: 05/27/2004
• Status: Abandoned Application

• Current Assignee: Nokia Corporation
• Original Assignee: Nokia Corporation
• Inventors: Tian, Jilei, Suontausta, Janne, Iso-Sipila, Juha
• Application Number:
  US10/856,207
• Publication Number:
  US 20050267757A1
• Time in Patent Office: Days
• US Class Current: 704/260
• CPC Class Codes: G10L 13/08 Text analysis or generation of parameters for speech synthesis out of text, e.g. grapheme to phoneme translation, prosody generation or stress or intonation determination
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams

Abstract

A method is disclosed for the detection of acronyms and digits and for finding the pronunciations for them. The method can be incorporated as part of an Automatic Speech Recognition (ASR) and Text-to-Speech (TTS) system. Moreover, the method can be part of Multi-Lingual Automatic Speech Recognition (ML-ASR) and TTS systems. The method of handling of acronyms in a speech recognition and text-to-speech system can include detecting an acronym from text, identifying a language of the text based on non-acronym words in the text, and utilizing the identified language in acronym pronunciation generation to generate a pronunciation for the detected acronym.

Claims

1. A method of handling of acronyms in a speech recognition and text-to-speech system, the method comprising:

detecting an acronym from text;

identifying a language of the text based on non-acronym words in the text; and

utilizing the identified language in acronym pronunciation generation to generate a pronunciation for the detected acronym.

2. The method of claim 1, wherein the acronym is detected based on capital letters.

3. The method of claim 1, wherein utilize the identified language in acronym pronunciation generation to generate a pronunciation for the detected acronym comprises obtaining a phoneme sequence associated with the detected acronym.

4. The method of claim 3, further comprising constructing the detected acronym using acoustic models.

5. The method of claim 1, further comprising marking the detected acronym.

6. The method of claim 5, wherein marking comprises adding a <

marker before the detected acronym and a >

marker after the detected acronym.

7. The method of claim 1, wherein detecting an acronym from text comprises loading entries from a file.

8. A system for applying speech recognition and text-to-speech with acronyms, the system comprising:

a language identifier that identifies language of a text including a plurality of vocabulary items;

a vocabulary manager that separates the vocabulary items into single words and detects acronyms in the vocabulary items, and maintains the pronunciations of the words; and

a text-to-phoneme (TTP) module that generates pronunciations for the vocabulary items including pronunciations for acronyms and digit sequences.

9. The system of claim 8, wherein the language identifier, vocabulary manager, and TTP module are integrated into common computer software code.

10. The system of claim 8, wherein acronyms are detected using detection logic and marked to separate acronyms from non-acronyms.

11. The system of claim 10, wherein the detection logic identifies acronyms based on capital letters.

12. The system of claim 8, wherein the language identifier identifies language of the text from non-acronym words in the text.

13. The system of claim 8, wherein the text-to-phoneme (TTP) module generates pronunciations for the vocabulary items using language dependent alphabet tables.

14. A device that applies speech recognition and text-to-speech to acronyms, the device comprising:

a language identifier module that identifies a language of text and vocabulary items from the text;

a text to phoneme module that provides phoneme sequences for identified vocabulary items; and

a processor that executes instructions to construct text to speech signals using the phoneme sequences from the text to phoneme module based on the identified language of the text.

15. The device of claim 14, wherein the processor uses multilingual acoustic modeling in the construction of the text to speech signals.

16. The device of claim 14, wherein the language of the text is identified based on non-acronym vocabulary items from the text.

17. A computer program product comprising:

computer code to;

detect acronyms from text including acronyms and non-acronyms and mark the detected acronyms;

identify a language of the text based on non-acronym words; and

use the language in acronym pronunciation generation.

18. The computer program code of claim 17, wherein the detecting of acronyms is based on specific rules contained in memory.

19. The computer program code of claim 17, wherein an acronym pronunciation table is used for the generation of pronunciations.

20. The computer program product of claim 17, wherein the acronyms are marked using a <

at a beginning of the acronym and a >

at a end of the acronym.