Pronunciation training system

• US 20070055523A1
• Filed: 08/25/2005
• Published: 03/08/2007
• Est. Priority Date: 08/25/2005
• Status: Abandoned Application

• Current Assignee: George Yang
• Original Assignee: George Yang
• Inventors: Yang, George
• Application Number:
  US11/211,931
• Publication Number:
  US 20070055523A1
• Time in Patent Office: Days
• US Class Current: 704/257
• CPC Class Codes: G09B 19/06 Foreign languages with audible presentation of material to be studied G09B5/04
• CPC Class Codes: G10L 21/06 Transformation of speech into a non-audible representation, e.g. speech visualisation or speech processing for tactile aids G10L15/26 takes precedence

Abstract

A pronunciation training system extracts pronunciation features from various pronunciation samples, links pronunciation features with corresponding muscle movements and diagram representations, displays related waveforms and pronunciation processes, and mark the differences between different waveforms and different pronunciation processes for helping a user to distinguish different sounds. First, the system collects pronunciation samples from people, categorizes these samples, analyzes them in time domain and in frequency domain, identifies the positions and movements of pronunciation organs, provides interfaces for experts to define pronunciation features, extracts and compares pronunciation features, and build links between pronunciation features and pronunciation processes. Then, the system collects pronunciation samples from a user, analyzes the pronunciation samples, extracts pronunciation features from the pronunciation samples, regenerates the pronunciation process, and displays related waveforms for helping a user to enhance the user'"'"'s awareness on different sounds. The system can further increase the user'"'"'s awareness on how a sound relates to a pronunciation feature and the muscle movements of a pronunciation organ by providing interfaces for a user to create different sounds by modifying the existing sounds on its loudness, tone, duration, and pace, by modifying the features in time domain or frequency domain, and by modifying the muscle movements of related pronunciation organs.

Claims

1. A system for helping a user to notice pronunciation organs and their muscle movements in producing a sound, to examine a pronunciation process associated with said sound, and to pronounce said sound correctly, said system containing relations between pronunciation features and corresponding muscle movements, wherein each of said pronunciation features consist of components for distinguishing different pronunciations, wherein said relations reveal connection between said pronunciation features and corresponding muscle movements, said system comprises:

means for collecting pronunciation samples of said sound from said user;

means for extracting pronunciation features from said pronunciation samples to generate extracted pronunciation features;

means for linking said extracted pronunciation features with corresponding muscle movements of said pronunciation organs according to said relations;

means for reconstructing and displaying said pronunciation process associated with said sound by a sequence of muscle movements of various pronunciation organs according to said extracted pronunciation features; and

whereby said system can identify various pronunciation features of said user on said sound, identify various muscle movements of said user on said sound, tie said pronunciation movements to corresponding said pronunciation features, and reproduce said pronunciation process.

2. The system in claim 1, said system taking said pronunciation samples from said sound in an original domain, wherein said means for extracting pronunciation features from said pronunciation samples comprise a means selected from a group consisting of:

means for performing analysis on said pronunciation samples in said original domain to obtain pronunciation features in said original domain, wherein said pronunciation samples comprise verbal samples and image samples;

means for performing transform on said pronunciation samples to obtain transformed pronunciation samples in a transform domain and means for performing analysis on said transformed pronunciation samples to obtain pronunciation features in said transform domain; and

means for performing analysis on muscle movements of said pronunciation organs.

3. The system in claim 1, said system further comprising means selected from a group consisting of:

a first means for recovering contents associated with said pronunciation samples to helps said system produce said extracted pronunciation features and regenerate said sound;

a second means for making use of results of previous pronunciation training sessions of said user to help said system provide progress indication and identify pronunciation problems for said user;

a third means for making use of preferences set up by said user to help said system to focus on various major issues particular to said user; and

a fourth means for making use of information provided by an expert for pronunciation problems particular to said user to help said system to identify said pronunciation problems and provide instruction for said user to make improvements, said expert being one selected from a group consisting of a software package, a teacher, and a pronunciation professional.

4. The system in claim 1, said system further comprising means for displaying articles selected from a group consisting of said pronunciation samples, said extracted pronunciation features, and said pronunciation process by diagrams, wherein said mean for displaying articles deploys a representation method selected from a group consisting of:

means for displaying from various aspects by one diagram then another diagram;

means for displaying an article by pre-selected diagrams simultaneously;

means for synchronizing said pre-selected diagrams;

means for zooming into a diagram;

means for zooming out from a diagram;

means for displaying from one direction;

means for displaying from a plurality of directions;

means for displaying invisible characters by different colors, line patterns, and weights; and

means for displaying in slow speed, normal speed, and rapid speed.

5. The system in claim 1, said system further comprising means for reducing noise and interference, and making important features prominent, wherein said means is a means selected from a group consisting of:

means for simplifying said pronunciation samples by removing trivial details according to information collected from training;

means for reducing noise in said pronunciation samples by employing proper filter;

means for reducing interference by making use of interference canceling technology; and

means for specifying and modifying said pronunciation samples,

whereby said system executing each of above means both automatically and interactively by following predefined procedures and by providing interface respectively.

6. The system in claim 1, said system further comprising:

means for displaying said pronunciation features; and

means for providing verbal explanations, text elaborations, and graphical indications on said extracted pronunciation features with different colors, different patterns, and different weights for different pronunciation features,

whereby said system can display said pronunciation features in a domain selected from a group consisting of original domains and transform domains;

whereby said system can display said extracted pronunciation features together with corresponding said pronunciation samples; and

whereby said system can display said pronunciation features in a fashion selected from a group consisting of natural fashion and artificial fashion.

7. The system in claim 1, said system further comprising means for comparing pronunciation features between said two pronunciations and means for showing differences between two pronunciations, wherein said two pronunciations can be ones selected from current pronunciation, previous pronunciations, and those saved in said system, said means for showing differences between two pronunciations comprising of means selected from a group consisting of:

means for marking different pronunciation by one selected from a group consisting of different color, different pattern, and different weights;

means for providing one selected from a group consisting of verbal explanations, text elaboration, and graphical indications on said differences;

means for showing shapes and positions of pronunciation organs, their changes, and their differences of each different pronunciation;

means for displaying pronunciation features by a manner selected from a group consisting of original domains, transform domains, and diagrams particular to pronunciation features; and

means for displaying pronunciation process of each of said pronunciations.

8. The system in claim 1, further comprising means for said user to modify said pronunciation samples and examine corresponding pronunciations from various aspects and means for regenerating sounds according to modified pronunciation samples, wherein said means for said user to modify said pronunciation samples and examine pronunciations from various aspects comprises of means selected from a group consisting of:

means for providing interface for said user to modify said pronunciation samples directly;

means for providing interface for said user to specify various attributes associated with said pronunciation samples, wherein said attributes include pitch, volume, duration, pace, and tone;

means for providing interface for said user to specify features in an original domain;

means for providing interface for said user to specify features in a transform domain;

means for providing interface for said user to specify muscle movements and modify muscle movements to generate modified muscle movements;

means for building a hearing model and generating parameters for said hearing model;

means for obtaining internal pronunciation samples from external pronunciation samples through said hearing models;

means for analyzing said internal pronunciation samples and comparing said internal pronunciation samples and said external pronunciation samples; and

means for displaying difference among original sound, modified sound and ones saved in said system, between said pronunciation samples and said modified pronunciation samples, between said extracted pronunciation features and said modified pronunciation features, and between said muscle movements and said modified muscle movements.

9. A system for building correlation between pronunciation features and muscle movements of various pronunciation organs, comprising:

means for collecting pronunciation samples from a performer;

means for extracting pronunciation features from said pronunciation samples, wherein said pronunciation features consist of components for distinguishing different pronunciations;

means for identifying muscle movements; and

means for linking said muscle movements with said pronunciation features.

10. The system in claim 9, wherein said means for extracting pronunciation features from said pronunciation samples comprise a means selected from a group consisting of:

means for performing analysis on said pronunciation samples in an original domain to obtain pronunciation features in said original domain;

means for performing transform on said pronunciation samples to obtain transformed pronunciation samples in a transform domain and means for performing analysis on said transformed pronunciation samples to obtain pronunciation features in said transform domain; and

means for performing analysis on said muscle movements of various pronunciation organs,

whereby said pronunciation samples comprise verbal samples and image samples.

11. The system in claim 9, said system further comprising means for an expert to define new features and means for reducing noise and interference, and making important features prominent, wherein said means for reducing noise and interference comprises a means selected from a group consisting of:

means for simplifying said pronunciation samples by removing trivial details according to information collected from training;

means for reducing noise in said pronunciation samples by employing proper filter;

means for reducing interference by making use of interference canceling technology; and

means for specifying and modifying said pronunciation samples,

whereby said system can perform above operations both automatically and interactively by following predefined procedures and by providing interfaces respectively.

12. The system in claim 9, further comprising means for rebuilding said pronunciation process, means for capturing feedback from an expert, and means for removing trivial features, wherein said means for rebuilding said pronunciation process comprises a means selected from a group consisting of:

means for regenerating sound according to said pronunciation features, related pronunciation parameters, and identified contents; and

means for building pronunciation models and creating procedures to find out related pronunciation parameters.

13. The system in claim 9, said system further comprising a means for displaying articles selected from a group consisting of said pronunciation samples, said pronunciation features, and said pronunciation process by diagrams, wherein said mean for displaying articles deploys means selected from a group consisting of:

means for displaying from various aspects by one pre-selected diagram then another pre-selected diagram;

means for displaying by pre-selected diagrams simultaneously;

means for synchronizing said pre-selected diagrams;

means for zooming into a diagram;

means for zooming out from a diagram;

means for displaying from one direction;

means for displaying from a plurality of directions;

means for displaying invisible characters by one selected from a group consisting of different colors, line patterns, and weights; and

means for displaying in slow speed, normal speed, and rapid speed.

14. The system in claim 9, further comprise:

means for providing interface for an expert to specify algorithms;

means for providing interface for said expert to build procedures to recognize various features;

means for providing interface for said expert to create various pronunciation models;

means for providing interface for said expert to create artificial features; and

means for providing interface for said expert to create artificial sounds to generate variety of samples.

15. The system in claim 9, further comprise a means selected from a group consisting of:

means for finding out pronunciation features for a person;

means for finding out pronunciation features for a group of people;

means for finding out difference among pronunciation features for people in said group;

means for finding out common pronunciation features between two groups; and

means for finding out different pronunciation features between two groups.

16. A system for helping a user to make pronunciation practice according to a document, said system having contained exemplary pronunciation features, exemplary pronunciation problems, exemplary pronunciation feature deviations, exemplary pronunciation problems, pronunciation feature identification procedures, and first type of relations between said exemplary pronunciation feature deviation and corresponding exemplary pronunciation problems, said system comprising:

means for preprocessing said document to recognize items selected from a group consisting of sounds, stresses, and pitches;

means for identifying important pronunciation issues associated with said user;

means for displaying said document with said important pronunciation issues emphasized;

means for taking pronunciation samples from said user while said user is reading said document;

means for extracting pronunciation features from said pronunciation samples according to said pronunciation feature identification procedures;

means for comparing said user pronunciation features with said exemplary pronunciation features and generating instance pronunciation deviations;

means for identifying instance exemplary pronunciation deviations that are close to said instance pronunciation deviations;

means for identifying instance exemplary pronunciation problems according to said instance exemplary pronunciation deviations and said first type of relations; and

means for providing feedback according to said instance exemplary pronunciation problems.

17. The system in claim 16, said system further comprising:

means for setting pronunciation practice focus according to user'"'"'s setting up, previous results, general rules in said system, and expert'"'"'s opinions coming with said document;

means for tracking marking position, said marking position pointing to current unit on said document that said user is reading at;

means for adjusting displayed portion of said document according to said marking position;

means for identifying instance exemplary pronunciation problems according to said instance exemplary pronunciation deviations and said first type of relations;

means for pinpointing instance pronunciation problems by combining said instance exemplary pronunciation problems according to said instance pronunciation deviations;

means for providing said user to manipulate pronunciation samples, pronunciation process, and pronunciation organs;

means for displaying a pronunciation process from a viewing point selected from a group consisting of front of face, side of face, inside of mouth, with a particular pronunciation organ only, and with several pronunciation organs together;

means for displaying plurality of diagrams with a symbol representing a corresponding pronunciation organ for a same pronunciation process and synchronizing said plurality of diagrams;

means for displaying plurality of waveforms in a domain selected from a group selected from a time domain and a transform domain; and

means for providing interface for said user to adjust and modify pronunciation samples and to generate modified pronunciation samples for examining how a pronunciation will change from various aspects.

18. The system in claim 16, wherein said means for preprocessing said document comprises means selected from a group consisting of means for extracting information about sounds, stress syllables, said sub-stress syllables, non-stress syllables, linking sounds, reducing sounds, and pitches from said document pre-saved in said system with major pronunciation issues marked at different layers for different user and for a user at different stages, means for identifying sounds, stress syllables, said sub-stress syllables, non-stress syllables, linking sounds, and reducing sounds according to a dictionary, means for suggesting proper tones according to pitch patterns saved in said system, and means for identifying linking sounds according to linking sound cluster rules saved in said system;

and

wherein said means for displaying said document with said important pronunciation issues emphasized comprises means for identifying pronunciation problems associated with said user by a method selected from a first group consisting of making use of previous results on pronunciation problems for said user and extracting corresponding settings of said user, means for indicating said important pronunciation issues by a scheme selected from a second group consisting of linking letters with corresponding sounds, making letters in different fonts, and adding extra symbols, and means for reminding said user key requirements for generating a particular sound.

19. The system in claim 16, said system containing second relations between said exemplary pronunciation features and muscle movements of pronunciation organs, wherein said means for extracting pronunciation features comprises a means selected from a group consisting of

means for simulating experts to find said pronunciation features from said pronunciation samples in original domain;

means for making transform on said user pronunciation samples to generate transformed pronunciation samples;

means for simulating experts to find said pronunciation features from said transformed pronunciation samples in a transform domain;

means for simulating experts to identify facial expression by various pattern recognition techniques; and

means for simulating experts to identify muscle movement of various pronunciation organs from images and said second relations.

20. The system in claim 16, wherein said means for providing feedback comprises a means selected from a group consisting of

means for imitating oral instructions;

means for providing written explanations;

means for proving pronunciation hints;

means for reconstructing pronunciation processes and showing said pronunciation processes;

means for displaying waveforms in various domains;

means for performing statistical analysis and showing user progress;

means for finding difficult sounds and other pronunciation issues;

means for letting said user to concentrate and practice on said difficult sounds; and

means for displaying a pronunciation process of a particular pronunciation organ from a particular aspect.