Systems and methods for speech signal processing to transcribe speech

A computer-implemented method for speech signal processing on a signal to transcribe speech, the method comprising:

• determining that at least a portion of data in the signal is missing;
• processing the signal using one or more neural networks to generate a plurality of transition probabilities;
• processing the signal using a hidden Markov model applying the plurality of transition probabilities to generate an output;
• using the output, calculating a set of possible contents to fill a gap due to the missing data portion;
• and
• updating the signal using at least one of the set of possible contents.

A non-transitory computer-readable medium storing instructions that, when executed by at least one processor, cause the at least one processor to:

• determine that at least a portion of data in the signal is missing;
• process the signal using one or more neural networks to generate a plurality of transition probabilities;
• process the signal using a hidden Markov model applying the plurality of transition probabilities to generate an output;
• using the output, calculate a set of possible contents to fill a gap due to the missing data portion;
• and
• update the signal using at least one of the set of possible contents.