Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right - 免费下载

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Hidden_Markov_model_for_automatic_speech_recognition This code implements in C++ a basic left-right hidden Markov model and corresponding Baum-Welch (ML) training algorithm. It is meant as an example of the HMM algorithms described by L.Rabiner (1) and others. Serious students are directed to the sources listed below for a theoretical description of the algorithm. KF Lee (2) offers an especially good tutorial of how to build a speech recognition system using hidden Markov models.

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1 📄
makefile
大小: 1.14 KB
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2 📄
random.dsw
大小: 537 B
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3 📋
hmm.h
大小: 4.05 KB
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4 📄
train_hmm.cc
大小: 1.78 KB
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5 📄
random.ncb
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6 📄
makefile.old
大小: 815 B
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7 📋
random.h
大小: 301 B
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8 📄
random.plg
大小: 246 B
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9 📄
hmm.cc
大小: 29.64 KB
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10 📄
readme.hmm
大小: 5.12 KB
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11 📄
test_hmm.cc
大小: 632 B
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12 📄
generate_seq.cc
大小: 1.57 KB
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13 📄
test.hmm
大小: 138 B
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14 📄
random.dsp
大小: 3.32 KB
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15 📄
random.opt
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