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A tutorial on the design and development of automatic speaker-recognition systems is presented. Automatic speaker recognition is the use of a machine to recognize a person from a spoken phrase. These systems can operate in two modes. to identify a particular person or to verify a person's claimed identity. Speech processing and the basic components of automatic speaker-recognition systems are shown and design tradeoffs are discussed. Then, a new automatic speaker-recognition system is given. This recognizer performs with 98.9% correct identification. Last, the performances of various systems are compared.
Keyword:
access control
authentication biomedical measurements
biomedical signal processing
biomedical transducers
biometric
communication system security
computer network security
computer security
corpus
data bases
identification of persons
public safety
site security monitoring
speaker recognition
speech processing
verification
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IF:
25.9
论文数:
9.9K
被引数:
4.5W
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A TUTORIAL ON HIDDEN MARKOV-MODELS AND SELECTED APPLICATIONS IN SPEECH RECOGNITION关于语音识别中的隐马尔可夫模型和选定应用的教程.png)
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PROCEEDINGS OF THE IEEEIF25.9
PREAI
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