Big dumb neural nets: a working brute force approach to speech recognition

Neural networks with over a million connections have been trained using online backpropagation and a speech corpus with over 6 million training examples (speech frames). These networks provide phonetic probabilistic estimates that are used in a continuous speech recognizer. Issues of the network training and application are discussed in this paper.<
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