A syllable segmentation algorithm
نویسنده
چکیده
In this paper we present a simple algorithm for speech syllabification. It is based on the detection of the most relevant energy maximums, using two different energy calculations: the former from the original signal, the latter from a low-pass filtered version. The system requires setting appropriate values for a number of parameter. The procedure to assign a proper value to each one is reduced to the minimization of a n-variable function, for which we use either a genetic algorithm and simulated annealing. Different estimation of parameters for both Italian and English was carried out. We found the English setting was also suitable for Italian but not the reverse.
منابع مشابه
A Rule-based Syllable Segmentation of Myanmar Text
Myanmar script uses no space between words and syllable segmentation represents a significant process in many NLP tasks such as word segmentation, sorting, line breaking and so on. In this study, a rulebased approach of syllable segmentation algorithm for Myanmar text is proposed. Segmentation rules were created based on the syllable structure of Myanmar script and a syllable segmentation algor...
متن کاملWord segmentation in Persian continuous speech using F0 contour
Word segmentation in continuous speech is a complex cognitive process. Previous research on spoken word segmentation has revealed that in fixed-stress languages, listeners use acoustic cues to stress to de-segment speech into words. It has been further assumed that stress in non-final or non-initial position hinders the demarcative function of this prosodic factor. In Persian, stress is retract...
متن کاملExplicit segmentation of speech based on fr
In the development of a syllable-centric Automatic Speech Recognition (ASR) system, segmentation of the speech signal into syllabic units is an important stage. In [1], an implicit algorithm is presented for segmenting the continuous speech signal into syllable-like units, in which the orthographic transcription is not used. In the present study, a new explicit segmentation algorithm is propose...
متن کاملAutomatic Blind Syllable Segmentation for Continuous Speech
In this paper a simple practical method for blind segmentation of continuous speech into its constituent syllables is presented. This technique which uses amplitude onset velocity and coarse spectral makeup to identify syllable boundaries is tested on a corpus of continuous speech and compared with an established segmentation algorithm. The results show substantial performance benefit using the...
متن کاملPerformance Limits for Envelope based Automatic Syllable Segmentation
In this paper the upper performance limits of automatic syllable segmentation algorithms using single or multiple frequency band envelopes as their primary segmentation feature are explored. Each algorithm is tested against the TIMIT corpus of continuous read speech. The results show that candidate matching rates as high as 99% can be achieved by segmentation based on a simple envelope, but onl...
متن کاملA Syllable Based Continuous Sp
This paper presents a novel technique for building a syllable based continuous speech recognizer when unannotated transcribed train data is available. We present two different segmentation algorithms to segment the speech and the corresponding text into comparable syllable like units. A group delay based two level segmentation algorithm is proposed to extract accurate syllable units from the sp...
متن کامل