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22
The HTK Hidden Markov Model Toolkit: Design and Philosophy
- Entropic Cambridge Research Laboratory, Ltd
, 1994
"... ion. However, they are not actually abstract data types. Far from it, all HTK data types are very concrete. The full definition of each type is visible outside of the module that defines it and the program which uses that type is free to manipulate its innards. Thus, from a software engineering pers ..."
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Cited by 96 (0 self)
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ion. However, they are not actually abstract data types. Far from it, all HTK data types are very concrete. The full definition of each type is visible outside of the module that defines it and the program which uses that type is free to manipulate its innards. Thus, from a software engineering
Modeling Biological Sequences Using HTK
, 1997
"... 20] is a software toolkit for designing and implementing state-of-the-art speech recognition systems. Recently, hidden Markov models (HMMs) have been applied by computational biologists to the task of characterizing families of related protein ..."
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20] is a software toolkit for designing and implementing state-of-the-art speech recognition systems. Recently, hidden Markov models (HMMs) have been applied by computational biologists to the task of characterizing families of related protein
The HTK Tied-State Continuous Speech Recogniser
, 1993
"... HTK is a portable software toolkit for developing systems using continuous density hidden Markov models developed by the Cambridge University Speech Group. This paper describes speech recognition experiments using HTK based systems for the DARPA Resource Management (RM) task. In particular good perf ..."
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Cited by 35 (1 self)
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HTK is a portable software toolkit for developing systems using continuous density hidden Markov models developed by the Cambridge University Speech Group. This paper describes speech recognition experiments using HTK based systems for the DARPA Resource Management (RM) task. In particular good
The Demiphone Versus The Triphone In A Decision-Tree State-Tying Framework
- Proc. ICSLP 98
, 1998
"... The performances of the demiphone (a context dependent subword unit that models independently the left and the right parts of a phoneme) and the triphone are compared. Continuous density hidden Markov modeling for both types of units is tested with the HTK software using decision-tree state clusteri ..."
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Cited by 12 (5 self)
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The performances of the demiphone (a context dependent subword unit that models independently the left and the right parts of a phoneme) and the triphone are compared. Continuous density hidden Markov modeling for both types of units is tested with the HTK software using decision-tree state
Building a Speaker Recognition System with one
"... Abstract — Speaker recognition system is the process of automatically recognizing the person from his/her speech. To correctly recognize a speaker by the system, many speech samples are needed at different times from each speaker. However, in some applications, such as forensic, the number of sample ..."
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is built using the HTK software which is a hidden Markov model kit, and the best recognition rate is
An Isolated Letter Recognizer for Proper Name Identification Over the Telephone
"... Spelled letter recognition over the telephone line is essential for applications that involve names or addresses. In this paper we discuss the implementation and present results of a speaker independent spelled letter recognizer, trained and tested on the European project SPEECHDAT corpus. The syste ..."
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. The system was implemented using HTK V2.0 (Hidden Markov Model Toolkit) software development tool and the speech signal was modelled using Hidden Markov Models (HMM).
2 Stochastic Speaker Recognition Model
"... The task of speech processing is being spread over last years with speaker recognition, which consists of speaker identification and speaker verification. In the paper there is an explained method which uses the stochastic model to solve this task. The experiment has been done using hidden Markov mo ..."
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models by means of HTK tool software. Testing speech materials consist of 200 speakers from corpus SpeechDat-Sk. Applied experiments reached the efficiency between 92,86 % and 100%.
An Isolated Letter Recognizer for Proper Name Identification Over the Telephone
"... : Spelled letter recognition over the telephone line is essential for applications that involve names or addresses. In this paper we discuss the implementation and present results of a speaker independent spelled letter recognizer, trained and tested on the European project SPEECHDAT corpus. The sys ..."
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Cited by 5 (0 self)
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. The system was implemented using HTK V2.0 (Hidden Markov Model Toolkit) software development tool and the speech signal was modelled using Hidden Markov Models (HMM). Keywords: Spelled, Recognition, Letter. 1. Introduction Spelled letter recognition is useful in applications such as automatic mail ordering
Poster: Hardware trojans - detect and react
- in Network and Distributed System Security (NDSS) Symposium, 2014, Extended Abstract and Poster Session. Internet Society
, 2014
"... Abstract—Hardware Trojans are a serious threat. In com-parison to their software counterparts, appropriate detection measures are still missing. The main reason is that there are no malware implementations to develop and test against. To solve this, we implemented a Hardware Trojan Kit (HTK) that en ..."
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Cited by 1 (1 self)
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Abstract—Hardware Trojans are a serious threat. In com-parison to their software counterparts, appropriate detection measures are still missing. The main reason is that there are no malware implementations to develop and test against. To solve this, we implemented a Hardware Trojan Kit (HTK
A Hybrid HMM/SVM Classifier for Wavelet Front End Robust Automatic Speech Recognition
"... Noisy ambient conditions pose a challenge to speech recognition, increasing the acoustic confusability, thereby looking for powerful acoustic models to improve the generalization ability of the machine learning and improve the recognition accuracy. This paper discusses a hybrid classifier that harne ..."
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in the presence of additive white gaussian noise (AWGN) for various SNR levels using the HTK toolkit, SVMLib and SVMLight software tool. Experiments indicate that for large vocabulary the classification power of SVMs and the elegant iterative training algorithms for the estimation of HMMs together as a hybrid
Results 1 - 10
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22
