A new fast algorithm for automatic segmentation of continuous speech
نویسندگان
چکیده
In this paper a new method for automatic segmentation of continuous speech into phone-like units is addressed. Our method is based on a very fast presegmentation algorithm which uses a new statistical modeling of speech and searching in a multilevel structure, called Dendrogram, for decreasing insertion rate. In each step the performance of algorithms have been tested over a large set of TIMIT sentences. According to these tests, our final segmentation algorithm is capable of detecting nearly 97% of segments with an average boundary position error of less than 7 msec and average insertion rate of less than 12.6%. The paper will describe the algorithms for determining the acoustic segments. Performance results will also be included.
منابع مشابه
AAYUDHA: A Tool for Automatic Segmentation and Labelling of Continuous Tamil Speech
Speech! An effective way of communication between human is now becoming an alternative way to communicate between human and machine. This alternative way is now-a-days used in many real time systems for faster, easier and comfortable response and communication. Speech segmentation and labelling are the process that lay as a key to decide the accuracy of several speech related research. A tool ‘...
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 کاملObject-Oriented Method for Automatic Extraction of Road from High Resolution Satellite Images
As the information carried in a high spatial resolution image is not represented by single pixels but by meaningful image objects, which include the association of multiple pixels and their mutual relations, the object based method has become one of the most commonly used strategies for the processing of high resolution imagery. This processing comprises two fundamental and critical steps towar...
متن کاملA Comparison of Different Approaches to Automatic Speech Segmentation
We compare different methods for obtaining accurate speech segmentations starting from the corresponding orthography. The complete segmentation process can be decomposed into two basic steps. First, a phonetic transcription is automatically produced with the help of large vocabulary continuous speech recognition (LVCSR). Then, the phonetic information and the speech signal serve as input to a s...
متن کاملBlocking Black Area Method for Speech Segmentation
Speech segmentation is an important sub problem of automatic speech recognition. This research is concerned with the development of a continuous speech segmentation system using Bangla Language. This paper presents a dynamic thresholding algorithm to segment the continuous Bngla speech sentences into words/sub-words. The research uses Otsu’s method for dynamic thresholding and introduces a new ...
متن کامل