Object specific language extension interface for a multi-level data structure

• US 7,464,065 B2
• Filed: 11/21/2005
• Issued: 12/09/2008
• Est. Priority Date: 11/21/2005
• Status: Expired due to Fees

• Current Assignee: International Business Machines Corporation
• Original Assignee: International Business Machines Corporation
• Inventors: Hancock, Steven M., Gleason, Philip, Smith, Maria E.
• Primary Examiner(s): Holmes; Michael B
• Application Number:
  US11/284,150
• Publication Number:
  US 20070118489A1
• Time in Patent Office: 1,114 Days
• Field of Search: None
• US Class Current: 706/48
• CPC Class Codes: G06F 40/289 Phrasal analysis, e.g. finite state techniques or chunking
• CPC Class Codes: G10L 13/04 Details of speech synthesis systems, e.g. synthesiser structure or memory management

Abstract

A computerized method (300) and software product (200) is provided for querying and modifying a Multi-Level Data Structure (106) stored in a Text-to-Speech (100) engine of a data processing system having a Central Processing Unit (202), a processing system memory (203), and an operating system (201), using an application program written in an interpretive programming language. The method includes the steps of initializing (302) by means of the CPU implementing a set of commands, a data processing environment for processing the application program, processing (306) the application program, where the processing includes identifying a marked command that encapsulates a DPMS program, and upon identifying a marked command, operating (318) on the MLDS using a DPMS interpreter for producing a result from the MLDS, the result available to the application program during execution of the application program.

Claims

1. A data processing system comprising computer hardware having one or more processors for generating speech from text, and further comprising:

a Text-to-Speech (TTS) engine having stored therein a Multi-Level Data Structure (MLDS);

a Delta Pattern Matching Syntax (DPMS) program to be executed for evaluating conditions in said MLDS, the DPMS program being encapsulated within a marked command of an application program, the DPMS program being parsed into DPMS constructs representing a set of instructions specifying procedural rules of operation on the MLDS; and

a DPMS interface through which the application program communicates with the MLDS of the TTS engine;

wherein the DPMS interface includes an DPMS interpreter that can query and modify the MLDS using the DPMS constructs.

2. The data processing system of claim 1, wherein the DPMS constructs are converted into executable runtime instructions and placed in an encoded data structure stored within a memory of the data processing system.

3. The data processing system of claim 1, wherein the data processing system designates areas of the memory as shared memory for work area storage during the processing of the DPMS program and designates data processing system variables for use during the processing of the DPMS program as shared variables.

4. The data processing system of claim 1, wherein said DPMS program is a single line command string written in the delta programming language, and wherein a plurality of marked commands is dispersed throughout the application program.

5. The data processing system of claim 2, wherein said application program is a C++ source code program, and wherein said encoded data structure is a class object in the C++ programming language, wherein the encoded data structure has its own syntax and set of methods and language extensions for manipulating the DPMS constructs of said encoded data structure within a C++ data processing environment.

6. The data processing system of claim 1, wherein the DPMS interpreter controls a scope of said DPMS query within the MLDS using a fence, wherein the DPMS interpreter accesses said encoded data structure through use of said fence, wherein said fence is integrated within said application program to restrict an extent of a pattern matching search by the MLDS.

7. The data processing system of claim 2, wherein the DPMS program is parsed and converted during a run-time execution of said application program, wherein said run-time execution allows said DPMS interpreter to communicate with the MLDS to evaluate conditions in the MLDS during run-time processing of said application program, and to produce a result of that evaluation.

8. A computer-implemented method of processing electronic data, the method comprising the steps of:

providing a data processing system including a Text-to-Speech (TTS) engine, having stored therein a Multi-Level Data Structure (MLDS), a Delta Pattern Matching Syntax (DPMS) program to be executed for evaluating conditions in the MLDS, and a DPMS interface for communicating with the MLDS of the TTS engine;

creating a marked command in an application program for querying and modifying the MLDS, including the steps of;

scanning the application program for a DPMS program including DPMS constructs that represent a set of instructions specifying procedural rules of operation on the MLDS; and

encapsulating the DPMS program under a descriptive header at a location of the DPMS program;

initializing a data processing environment for processing the application program;

processing the application program, wherein the processing includes identifying the marked command that encapsulates the DPMS program; and

upon identifying the marked command, operating on the MLDS using the DPMS interpreter for producing a result from the MLDS, the result being available to the application program during execution of the application program.

9. The method of claim 8, wherein initializing the data processing environment further comprises designating areas of the data processing system memory as shared memory for work area storage during the processing of the application program;

and initializing data processing system variables for use during the processing of the application program as shared variables.

10. The method of claim 8, wherein the processing the application program further comprises the steps of:

parsing the DPMS program into DPMS constructs, converting said DPMS constructs into executable runtime instructions, and placing said executable runtime instructions in an encoded data structure; and

wherein the encoded data structure is embedded within said application program by storing said encoded data structure within a data processing system memory, and said encoded data structure is in a format recognizable by an interpretive programming language.

11. The method of claim 8, wherein the operating on the MLDS using the DPMS interpreter further comprises executing a DPMS construct in the MLDS using the DPMS interpreter, wherein the DPMS construct represents an instruction specifying procedural rules of operation on the MLDS, wherein the DPMS interpreter can query and modify the MLDS using the DPMS construct, wherein the DPMS interpreter communicates with the MLDS using a delta programming language.

12. The method of claim 11, wherein the executing a DPMS construct further comprises using a fence to control a scope for querying and modifying the MLDS, wherein the fence controls access of the DPMS interpreter to said encoded data structure, wherein said fence restricts pattern matching within the MLDS to limit said result.

13. The method of claim 8, wherein said DPMS program is a single line command string written in the delta programming language, and wherein a plurality of marked commands is dispersed throughout said application program.

14. The method of claim 10, wherein said embedding occurs during a run-time execution of said application program for the DPMS interpreter to communicate with the MLDS to receive said result during run-time processing of said application program.

15. The method of claim 8, wherein said result from the MLDS can be a set of acoustic parameter values for use with a synthesizer to produce speech.