Accent detection and correction system

• US 20070038455A1
• Filed: 08/09/2005
• Published: 02/15/2007
• Est. Priority Date: 08/09/2005
• Status: Abandoned Application

• Current Assignee: Appserver Soulutions, Inc.
• Original Assignee: Appserver Soulutions, Inc.
• Inventors: Murzina, Marina, Prouse, Alan
• Application Number:
  US11/200,265
• Publication Number:
  US 20070038455A1
• Time in Patent Office: Days
• US Class Current: 704/263
• CPC Class Codes: G10L 15/187 Phonemic context, e.g. pronunciation rules, phonotactical constraints or phoneme n-grams
• CPC Class Codes: G10L 2021/0135 Voice conversion or morphing
• CPC Class Codes: G10L 21/00 Speech or voice signal processing techniques to produce another audible or non-audible signal, e.g. visual or tactile, in order to modify its quality or its intelligibility G10L19/00 takes precedence

Abstract

A concept, method and apparatus for detecting and correcting an accent by means of sound morphing is provided. The input audio signal is analyzed for finding pre-specified unwanted speech patterns, i.e. phonemes or groups of phonemes that are to be corrected, for instance because they represent a foreign accent. These unwanted sounds are then modified or completely replaced by the pre-stored replacement audio patterns, adjusted to the current pitch and voice timbre of the user. The degree of speech modification, i.e. the set of phonemes to be modified, can be set at a desired level. The system works in two modes: first, learning, i.e. storing the unwanted and the replacement phoneme patterns, and second, the correction mode which performs phoneme modification based on the stored information. The implementation is both in software and hardware. The hardware apparatus is based on parallel signal processing and therefore allows for real-time accent correcting of variable complexity, up to multiple-user multiple-accent super-complex systems based on mesh architecture of multiple chips and boards, possibly as a part of a telephone or another networking system.

Claims

1. An accent detection and correction system comprising:

(a) means for inputting unwanted speech patterns such that said speech patterns are digitalized, analyzed and stored in a digital memory library of unwanted speech patterns;

(b) means for inputting desired speech patterns corresponding to said unwanted speech patterns such that said desired speech patterns are digitalized, analyzed and stored in a digital memory library of desired speech patterns;

(c) means for actively detecting incoming speech patterns, comparing said detected incoming speech patterns with said unwanted speech patterns stored in said digital memory of unwanted speech patterns such that the unwanted speech patterns found in said incoming speech patterns are removed and queued for replacement;

(d) means for analyzing said unwanted speech patterns in incoming speech patterns and determining positively corresponding desired speech patterns; and

(e) means for replacing said unwanted speech patterns found in said incoming speech patterns with said desired speech patterns which are determined to be positively corresponding to said unwanted speech patterns,

thereby producing an output speech pattern in which said unwanted speech patterns have been removed and replaced with said desired speech patterns.

2. The accent detection and correction system according to claim 1, wherein said means for inputting unwanted and desired speech patterns includes inputting speech patterns via a conventional microphone.

3. The accent detection and correction system according to claim 2, wherein said microphone inputted speech patterns are digitalized using a computer.

4. The accent detection and correction system according to claim 1, wherein said inputted unwanted and desired speech patterns are stored in one or more digital memory libraries.

5. The accent detection and correction system according to claim 1, wherein said means for actively detecting incoming speech patterns, comparing said detected incoming speech patterns with said unwanted speech patterns stored in said digital memory of unwanted speech patterns such that the unwanted speech patterns found in said incoming speech patterns are removed and queued for replacement, includes actively detecting incoming speech patterns, comparing said detected incoming speech patterns with said unwanted speech patterns stored in said digital memory of unwanted speech patterns such that the unwanted speech patterns found in said incoming speech patterns are removed and queued for replacement in real time.

6. The accent detection and correction system according to claim 1, wherein said means for analyzing said unwanted speech patterns in incoming speech patterns and determining positively corresponding desired speech patterns includes analyzing said unwanted speech patterns in incoming speech patterns and determining positively corresponding desired speech patterns in real time.

7. The accent detection and correction system according to claim 1, wherein said means for replacing said unwanted speech patterns found in said incoming speech patterns with said desired speech patterns which are determined to be positively corresponding to said unwanted speech patterns includes replacing said unwanted speech patterns found in said incoming speech patterns with said desired speech patterns which are determined to be positively corresponding to said unwanted speech patterns in real time, thereby producing an output speech pattern in which said unwanted speech patterns have been removed and replaced with said desired speech patterns.

8. The accent detection and correction system according to claim 1, wherein said system is used for teaching desired speech patterns by modifying inputted unwanted speech patterns and outputting desired speech patterns in real time.

9. The accent detection and correction system according to claim 1, wherein said system is used to analyze unwanted speech patterns to detect languages, dialects and accents.

10. The accent detection and correction system according to claim 1, wherein said system is used to analyze desired speech patterns to detect languages, dialects and accents.

11. A method for modifying speech patterns, comprising the steps of:

(a) inputting unwanted speech patterns such that said speech patterns are digitalized, analyzed and stored in a digital memory library of unwanted speech patterns;

(b) inputting desired speech patterns corresponding to said unwanted speech patterns such that said desired speech patterns are digitalized, analyzed and stored in a digital memory library of desired speech patterns;

(c) actively detecting incoming speech patterns, comparing said detected incoming speech patterns with said unwanted speech patterns stored in said digital memory of unwanted speech patterns such that the unwanted speech patterns found in said incoming speech patterns are removed and queued for replacement;

(d) analyzing said unwanted speech patterns in incoming speech patterns and determining positively corresponding desired speech patterns; and

(e) replacing said unwanted speech patterns found in said incoming speech patterns with said desired speech patterns which are determined to be positively corresponding to said unwanted speech patterns,

thereby producing an output speech pattern in which said unwanted speech patterns have been removed and replaced with said desired speech patterns.

12. The method for modifying speech patterns according to claim 11, wherein said step of inputting unwanted and desired speech patterns includes inputting speech patterns via a conventional microphone.

13. The method for modifying speech patterns according to claim 12, wherein said microphone inputted speech patterns are digitalized using a computer.

14. The method for modifying speech patterns according to claim 11, wherein said inputted unwanted and desired speech patterns are stored in one or more digital memory libraries.

15. The method for modifying speech patterns according to claim 11, wherein said step of actively detecting incoming speech patterns, comparing said detected incoming speech patterns with said unwanted speech patterns stored in said digital memory of unwanted speech patterns such that the unwanted speech patterns found in said incoming speech patterns are removed and queued for replacement, includes actively detecting incoming speech patterns, comparing said detected incoming speech patterns with said unwanted speech patterns stored in said digital memory of unwanted speech patterns such that the unwanted speech patterns found in said incoming speech patterns are removed and queued for replacement in real time.

16. The method for modifying speech patterns according to claim 11, wherein said step analyzing said unwanted speech patterns in incoming speech patterns and determining positively corresponding desired speech patterns includes analyzing said unwanted speech patterns in incoming speech patterns and determining positively corresponding desired speech patterns in real time.

17. The method for modifying speech patterns according to claim 11, wherein said step of replacing said unwanted speech patterns found in said incoming speech patterns with said desired speech patterns which are determined to be positively corresponding to said unwanted speech patterns includes replacing said unwanted speech patterns found in said incoming speech patterns with said desired speech patterns which are determined to be positively corresponding to said unwanted speech patterns in real time, thereby producing an output speech pattern in which said unwanted speech patterns have been removed and replaced with said desired speech patterns.

18. The method for modifying speech patterns according to claim 11, wherein said system is used for teaching desired speech patterns by modifying inputted unwanted speech patterns and outputting desired speech patterns in real time.

19. The method for modifying speech patterns according to claim 11, wherein said system is used to analyze unwanted speech patterns to detect and determine languages, dialects and accents.

20. The method for modifying speech patterns according to claim 11, wherein said system is used to analyze desired speech patterns to detect and determine languages, dialects and accents.