Methodology for generating enhanced demiphone acoustic models for speech recognition

A method for implementing a speech recognition engine, comprising:

• utilizing demiphone acoustic models to perform speech recognition procedures, each of said demiphone acoustic models having three states that collectively form a preceding demiphone and a succeeding demiphone;
• and
• analyzing speech context information with an acoustic model generator to configure each of said demiphone acoustic models as either a succeeding-dominant demiphone acoustic model or a preceding-dominant demiphone acoustic model.

A system for implementing a speech recognition engine, comprising:

• means for performing speech recognition procedures, said means for performing speech recognition procedures each having three states that collectively form a preceding demiphone and a succeeding demiphone;
• and
• means for configuring each of said means for performing speech recognition procedures as either a succeeding-dominant demiphone acoustic model or a preceding-dominant demiphone acoustic model.

A system for implementing a speech recognition engine, comprising:

• demiphone acoustic models that each have three states that collectively form a succeeding demiphone and a preceding demiphone, said demiphone acoustic models all being configured in a succeeding-dominant configuration that has a first state forming said preceding demiphone, said succeeding-dominant configuration also having a second state and a third state forming said succeeding demiphone;
• and
• a speech recognition engine that utilizes said demiphone acoustic models to perform speech recognition procedures.