Dynamic Feature Extraction for Speech Signal Based On MUSIC and Modulation Spectrum
نویسندگان
چکیده
منابع مشابه
Speech/Music Classification using wavelet based Feature Extraction Techniques
Audio classification serves as the fundamental step towards the rapid growth in audio data volume. Due to the increasing size of the multimedia sources speech and music classification is one of the most important issues for multimedia information retrieval. In this work a speech/music discrimination system is developed which utilizes the Discrete Wavelet Transform (DWT) as the acoustic feature....
متن کاملComparative Analysis of Wavelet-based Feature Extraction for Intramuscular EMG Signal Decomposition
Background: Electromyographic (EMG) signal decomposition is the process by which an EMG signal is decomposed into its constituent motor unit potential trains (MUPTs). A major step in EMG decomposition is feature extraction in which each detected motor unit potential (MUP) is represented by a feature vector. As with any other pattern recognition system, feature extraction has a significant impac...
متن کاملRobust Speech Recognition with MSC/DRA Feature Extraction on Modulation Spectrum Domain
This report introduces noise robust speech recognition and proposes advanced speech analysis techniques named MSC (Modulation Spectrum Control)/DRA (Dynamic Range Adjustment). The dynamic range of cepstrum obtained from noisy speech is usually smaller than that from the same speech without noise since some speech features are hidden in noise. This difference may cause recognition errors. Theref...
متن کاملdeveloping a pattern based on speech acts and language functions for developing materials for the course “ the study of islamic texts translation”
هدف پژوهش حاضر ارائه ی الگویی بر اساس کنش گفتار و کارکرد زبان برای تدوین مطالب درس "بررسی آثار ترجمه شده ی اسلامی" می باشد. در الگوی جدید، جهت تدوین مطالب بهتر و جذاب تر، بر خلاف کتاب-های موجود، از مدل های سطوح گفتارِ آستین (1962)، گروه بندی عملکردهای گفتارِ سرل (1976) و کارکرد زبانیِ هالیدی (1978) بهره جسته شده است. برای این منظور، 57 آیه ی شریفه، به صورت تصادفی از بخش-های مختلف قرآن انتخاب گردید...
15 صفحه اولDiscrimination between speech and music based on a low frequency modulation feature
The possibility to discriminate between speech and music signals by using a feature based on low frequency modulation has been investigated. Three different low frequency modulation parameters have been extracted and tested concerning the ability of discrimination. The low frequency modulation amplitudes calculated over 20 critical bands and their standard deviations were found to be good featu...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: The International Journal of Acoustics and Vibration
سال: 2016
ISSN: 1027-5851,2415-1408
DOI: 10.20855/ijav.2016.21.3430