Patent Document ID: 9799327
Application ID: 15055476

Base Claim:
1. A computer implemented method comprising: obtaining an input acoustic sequence, the input acoustic sequence representing an utterance, and the input acoustic sequence comprising a respective acoustic feature representation at each of a first number of time steps; processing the input acoustic sequence using a first neural network to convert the input acoustic sequence into an alternative representation for the input acoustic sequence, wherein the alternative representation for the input acoustic sequence comprises a respective alternative acoustic feature representation for each of a second number of time steps, and wherein the second number is smaller than the first number; processing the alternative representation for the input acoustic sequence using an attention-based Recurrent Neural Network (RNN) to generate, for each position in an output sequence order, a set of substring scores that includes a respective substring score for each substring in a set of substrings; and generating a sequence of substrings that represent a transcription of the utterance.

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Claim 6:
6. The method of claim 1 , wherein the first neural network is a pyramid Bidirectional Long Short Term Memory (BLSTM) RNN.