Methods and apparatuses for automatic speech recognition

A non-transitory machine-readable medium storing executable program instructions which when executed by a data processing system causes the system to perform operations to recognize speech, comprising:

• receiving first portions of an acoustic signal;
• determining a likelihood of a recovered first parameter sequence representing the first portions of the acoustic signal;
• determining a likelihood of a recovered second parameter sequence associated with the recovered first parameter sequence, wherein the second parameter sequence represents second portions of the acoustic signal that have a coarser granularity than the first portions;
• determining a likelihood of a recovered word sequence based on the recovered second parameter sequence;
• and
• outputting the recovered word sequence.

A data processing system to perform speech recognition, comprising:

• a memory;
• and
• a processor coupled to the memory, the processor is configured to:
• receive first portions of an acoustic signal;
• determine a likelihood of a recovered first parameter sequence representing the first portions of the acoustic signal;
• determine a likelihood of a recovered second parameter sequence associated with the recovered first parameter sequence, wherein the second parameter sequence represents second portions of the acoustic signal that have a coarser granularity than the first portions;
• determine a likelihood of a recovered word sequence based on the recovered second parameter sequence;
• and
• output the recovered word sequence.

A data processing system to perform speech recognition, comprising:

• means for receiving first portions of an acoustic signal;
• means for determining a likelihood of a recovered first parameter sequence representing the first portions of the acoustic signal;
• means for determining a likelihood of a recovered second parameter sequence associated with the recovered first parameter sequence, wherein the second parameter sequence represents second portions of the acoustic signal that have a coarser granularity than the first portions;
• means for determining a likelihood of a recovered word sequence based on the recovered second parameter sequence;
• and means for outputting the recovered word sequence.

A non-transitory machine readable storage medium containing executable instructions which when executed cause a data processing system to perform a speech recognition method, the method comprising:

• receiving an acoustic signal;
• extracting features from a digitized representation of the acoustic signal;
• comparing at least some of the features to a first component of an acoustic model, the first component having a discrete parameter representation;
• comparing at least some of the features to a second component of the acoustic model, the second component having a continuous parameter representation which models residuals of speech signals;
• determining a recognized word from the comparing of at least some of the features to the first and the second components, wherein the discrete parameter representation and the continuous parameter representation are both used to map the features to at least one cluster label which is used to determine at least one phoneme.