{"id":"W1993882792","doi":"10.1109/tasl.2011.2109382","title":"Acoustic Modeling Using Deep Belief Networks","year":2011,"lang":"en","type":"article","venue":"IEEE Transactions on Audio Speech and Language Processing","topic":"Speech Recognition and Synthesis","field":"Computer Science","cited_by":1746,"is_retracted":false,"has_abstract":true,"ca_institutions":"University of Toronto","funders":"University of Pennsylvania","keywords":"TIMIT; Hidden Markov model; Discriminative model; Computer science; Artificial intelligence; Pattern recognition (psychology); Deep belief network; Mixture model; Artificial neural network; Speech recognition; Feature (linguistics); Backpropagation; Feature extraction; Markov model; Generative model; Gaussian; Generative grammar; Machine learning; Markov chain","routes":{"ca_aff":true,"ca_fund":false,"ca_venue":false,"about_ca":false,"invisible_to_affiliation_only":false},"retraction":null,"screen":null,"machine_scores":{"provisional":true,"baseline":true,"maturity_gate_passed":false,"score_opus":0.03523967748347272,"score_gpt":0.249923230056549,"score_spread":0.2146835525730763,"validation_status":"score_only:v0-immature-baseline","note":"Baseline scores from an immature model (maturity gate not passed). Scores rank; they never assert a category."}}