RYBENA: AN ASL-BASED COMMUNICATION METHOD AND SYSTEM FOR DEAF, MUTE AND HEARING IMPAIRED PERSONS

• US 20070003025A1
• Filed: 10/10/2005
• Published: 01/04/2007
• Est. Priority Date: 06/24/2005
• Status: Abandoned Application

• Current Assignee: Insitituto Centro De Pesquisa E Desenvolvimento Em
• Original Assignee: Insitituto Centro De Pesquisa E Desenvolvimento Em
• Inventors: Waeny, Jose Carlos, Alves, Clesio
• Application Number:
  US11/163,197
• Publication Number:
  US 20070003025A1
• Time in Patent Office: Days
• US Class Current: 379/52
• 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
• CPC Class Codes: H04M 3/42391 where the subscribers are hearing-impaired persons, e.g. telephone devices for the deaf

Abstract

Rybena is both a system and a method that makes it feasible the communication between deaf, hearing impaired and mute persons and other people in general, including handicapped and those not similarly handicapped. The system makes use of some techniques in order to reduce the English language, written or spoken, to a formal text that can be distributed by electronic means and translated to ASL (American Sign Language). That reduced text is a meta-language that can be conveyed, using distinct communication channels, to varied devices, like cell phones and digital assistants, and presented in text, voice or animated ASL.

Claims

1. Method and system that makes it feasible the communication between deaf, hearing impaired and mute persons and other people in general, including handicapped and those not similarly handicapped, characterized by the use of some techniques in order to reduce the English language, written or spoken, without human intervention, to a formal text that can be distributed by electronic means and translated to ASL (American Sign Language) in the form of animated images.

2. The system of claim 1 comprises the client and Server subsystems. The Server subsystem is composed of the modules:

a) voice-recognition module, responsible for the conversion of a voice message to a text message;

b) voice-synthesis module, responsible for the conversion of a text message to a voice message;

c) ASL-conversion module, responsible for the conversion of a text message to an ASL-animated message;

d) text-conversion module, responsible for the conversion of an ASL-animated message to a text message;

e) queue-management module for managing the text, voice and ASL queues;

f) module for controlling, identifying and authorizing message traffic among users;

g) voice-messages repository, responsible for storing voice-type messages;

h) text-messages repository, responsible for storing text-type messages;

i) ASL-messages repository, responsible for storing ASL-type messages;

j) ASL-animated images repository. Each animated image represents an ASL-language sign;

k) monitoring and event notification module;

The Client subsystem is composed of the following modules;

a) text-capture module for reading text messages inputted in the user device interface (cell phone, PDA, PC etc);

b) module for capturing voice messages, via a microphone, and reducing noise rates by the use of filtering techniques;

c) module for capturing ASL messages;

d) module for message conversion and compacting to reduce the amount of transmitted data;

e) security module for message confidentiality assurance by the use of cryptographic techniques;

f) message transmission module using as communication channels the Internet and PSTN or mobile phone networks (technologies such as X.25, ATM, frame relay, TCP/IP, GPRS, CDMA, among others);

g) module for retrieving messages in the text, voice or ASL formats, configured in accordance with user needs (physical unfitness);

h) module for the making of ASL-animated images and its presentation, using time measures (ASL-signs exhibition time and pause time between signs);

i) module for the exhibition of text messages;

j) module for playing audio messages;

k) module for retrieving voice messages stored in the server repository from a telephone.

3. The communication method of claim 1, characterized by the transmission of a message in the voice, text or ASL formats from a customer device (cell phone, PDA, Personal Computer etc) to the server subsystem that initially identifies the format, comprising the steps of:

a) if the message is in the voice format, it is stored in the voice message queue. Afterwards, this incoming message is translated to text using a voice recognition technique. The translation process resulting text is sent to the text message queue. The text message is then contextualized (translation and conversion to the ASL language) and sent to the ASL message queue;

b) if the message is in the text format, it is stored in the text message queue. Later, this message is contextualized and sent to the ASL message queue. The text message is then translated to the voice format using a voice synthesis process. The resulting voice message is sent to the voice message queue;

c) if the message is in the ASL format, it is stored in the ASL message queue. Later, this message is translated to the text format and sent to the text message queue. The text message is then translated to the voice format using a voice synthesis process. The resulting voice message is sent to the voice message queue;

The communication method is accomplished when the addressee retrieves the message sent by a client in the format he considers fits his needs better (text, voice or ASL).

4. The method of claim 1 and 3 wherein said conversion to ASL is characterized by message semantic analysis and contextualization. The non-essential linguistic structures to the to ASL language translation process, like prepositions, are removed. The expressions are verified and the verbal reduction takes place (the verbs are reduced to its infinitive form along with an indicator of the grammatical tense that will be used later on the ASL signaling method).

5. The method of claim 1 and 3 wherein said ASL signaling is characterized by image retrieval, stored either in the customer device or in the server subsystem. With the images available in the customer device an animation will be created making use of time measures (exhibition time of ASL signs and pause time between signs) and the resulting ASL-animated message will be displayed in the customer device graphical user interface.