Add to ORKGThe article presents two methods of determination of cepstral parameters commonly applied in digital signal processing, in particular in speech recognition systems. The solutions presented are part of a project aimed at developing applications allowing to control the Windows operating system with voice and the use of MSAA (Microsoft Active Accessibility). The analysed voice signal has been visually presented at each of the crucial stages of developing cepstral coefficients
Voice recognition is the process by which a computer is able to map an acoustic signal (i.e. spoken ...
In this era of technology, rapid advancements are being made in the field of automation and signal p...
The research described in this thesis has been carried out in three specific areas, namely the imple...
A cepstrum is the result of taking the Inverse Fourier transform (FT) of the logarithm of the spect...
This paper presents a method of speech recognition by pattern recognition techniques. Learning consi...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
Speech recognition is an important and active analysis area of the recent years. This analysis aims ...
This paper describes a series of cepstral-based compensation procedures that render the SPHINX-II sy...
The purpose of this project was to develop a real-time voice command recognition system by using dig...
New approach to speech analysis and synthesis using the complex cepstral coefficients was implemente...
This paper presents an effort to provide a more efficient speech signal representation, which aims t...
The human communication has a vitalmode called speech which results from the voice along with knowle...
Data verification systems evolve towards a more natural system using biometric media. In daily inter...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...
Voice recognition is the process by which a computer is able to map an acoustic signal (i.e. spoken ...
In this era of technology, rapid advancements are being made in the field of automation and signal p...
The research described in this thesis has been carried out in three specific areas, namely the imple...
A cepstrum is the result of taking the Inverse Fourier transform (FT) of the logarithm of the spect...
This paper presents a method of speech recognition by pattern recognition techniques. Learning consi...
Mel-frequency cepstral coefficients (MFCCs) are widely adopted in speech recognition as well as spea...
Speech recognition is an important and active analysis area of the recent years. This analysis aims ...
This paper describes a series of cepstral-based compensation procedures that render the SPHINX-II sy...
The purpose of this project was to develop a real-time voice command recognition system by using dig...
New approach to speech analysis and synthesis using the complex cepstral coefficients was implemente...
This paper presents an effort to provide a more efficient speech signal representation, which aims t...
The human communication has a vitalmode called speech which results from the voice along with knowle...
Data verification systems evolve towards a more natural system using biometric media. In daily inter...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...
This dissertation introduces a new approach to estimation of the features used in an automatic speec...
Voice recognition is the process by which a computer is able to map an acoustic signal (i.e. spoken ...
In this era of technology, rapid advancements are being made in the field of automation and signal p...
The research described in this thesis has been carried out in three specific areas, namely the imple...