Task specific code generation for speech recognition decoding
A code generation program is provided that reads in the task-specific parameters of a speech recognition system and produces a source-language decoder program that is specialized to these parameters. The decoder program is then compiled and distributed. The process of profile-driven code optimization may be used to further enhance the output program. For ease of distribution, the system may be compiled in several parts, and assembled (linked) later, for example through the mechanism of dynamically loaded libraries.
1 . A method for generating task-specific code for pattern recognition, the method comprising:
receiving task-specific input system data of a pattern recognition system; and
generating task-specific code for the pattern recognition system based on the task-specific input system data.
2 . The method of claim 1 , wherein the pattern recognition system performs speech recognition.
3 . The method of claim 2 , wherein the task-specific input system data includes one of a language model, an acoustic model, a front-end for computing feature vectors, and information related to speaker adaptation.
4 . The method of claim 3 , wherein the acoustic model includes Gaussians.
5 . The method of claim 3 , wherein the language model is represented as a Hidden Markov Model.
6 . The method of claim 3 , wherein the acoustic model is represented as a Hidden Markov Model.
7 . The method of claim 1 , further comprising:
compiling the task-specific code to form a decoder program.
8 . The method of claim 7 , further comprising:
profiling the decoder program to form a profile; and
determining whether the decoder program is optimized.
9 . The method of claim 8 , further comprising:
responsive to the decoder program not being optimized, automatically modifying and recompiling the decoder program based on the profile.
10 . The method of claim 7 , wherein the step of compiling the task-specific code includes compiling the task-specific code in several parts corresponding to several modules of the pattern recognition system and assembling the compiled code before execution.
11 . A computer program product, in a computer readable medium, for generating task-specific code for pattern recognition, the computer program product comprising:
instructions for receiving task-specific input system data of a pattern recognition system; and
instructions for generating task-specific code for the pattern recognition system based on the task-specific input system data.
12 . The computer program product of claim 11 , wherein the pattern recognition system performs speech recognition.
13 . The computer program product of claim 12 , wherein the task-specific input system data includes one of a language model, an acoustic model, a front-end for computing feature vectors, and information related to speaker adaptation.
14 . The computer program product of claim 11 , further comprising:
instructions for compiling the task-specific code to form a decoder program.
15 . The computer program product of claim 14 , further comprising:
instructions for profiling the decoder program to form a profile; and
instructions for determining whether the decoder program is optimized.
16 . The computer program product of claim 15 , further comprising:
instructions, responsive to the decoder program not being optimized, for automatically modifying and recompiling the decoder program based on the profile.
17 . An apparatus for generating task-specific code for pattern recognition, the method comprising:
a code generator, wherein the code generator receives task-specific input system data of a pattern recognition system and generates task-specific code for the pattern recognition system based on the task-specific input system data; and
a compiler, wherein the compiler compiles the task-specific code to form a decoder program for the pattern recognition system.
18 . The apparatus of claim 17 , wherein the pattern recognition system performs speech recognition.
19 . The apparatus of claim 18 , wherein the task-specific input system data includes one of a language model, an acoustic model, a front-end for computing feature vectors, and information related to speaker adaptation. 20 . The apparatus of claim 17 , further comprising:
a profile, wherein the profiler profiles the decoder program to form a profile and determines whether the decoder program is optimized.