This paper describes a systematic investigation of the extent to which the part of speech of words can be identified from their prefixes and suffixes. The results indicate that it is possible to determine, with 95 per cent accuracy, the inclusive part of speech of an affixed word from a consideration of its prefixes, suffixes, and length. By "inclusive" parts of speech we mean a string that wil...

Speakers tend to mark boundaries of larger prosodic units with glottalization and the deceleration of articulation rate. In the present study, the final parts of Hungarian read and spontaneous utterances were analyzed in the temporal domain (compared to the other parts of the utterances) and in terms of glottalization. We investigated how glottalization and deceleration are related to each othe...

Abstract Voicing is an important phonetic characteristic of speech. Each phoneme belongs to a group either voiced or unvoiced sounds. We investigated and compared the performance five algorithms widely used estimate speech voicing. All were implemented in Matlab tested on both short consonants continuous Phonetically paired (voiced vs unvoiced) parts read from audio books experiments. The tuned...

A new algorithm of direct time domain fundamental frequency estimation (DFE) and voiced/unvoiced (V/UV) classification of speech signal is presented in this paper. The DFE algorithm consists of spectral shaping, detection of significant extremes based on adaptive thresholding, and actual frequency estimation under several truth criteria. We propose a majority criterion for V/UV classification b...

This paper presents a framework for detecting spirited incidental music that is often accompanied with highlighted parts of a movie. A speech/music discrimination module is first developed to tell clips with speech or music apart. Then spirited music models are trained and used to classify the clips with incidental music into spirited or smooth ones. This two-stage framework facilitates automat...

One of the interesting topics on multimedia domain is concerned with empowering computer in order to speech production. Speech synthesis is granting human abilities to the computer for speech production. Data-based approach and process-based approach are the two main approaches on speech synthesis. Each approach has its varied challenges. Unit-selection speech synthesis and statistical parametr...

Here we review evidence from cognitive neuroscience for a tight relation between language and action in the brain. We focus on two types of relation between language and action. First, we investigate whether the perception of speech and speech sounds leads to activation of parts of the cortical motor system also involved in speech production. Second, we evaluate whether understanding action-rel...

[In the past few years, Indian languages have seen a welcome arrival of large parts of speech annotated corpora, thanks to the DIT funded projects across the country. A major corpus of 50,000 sentences in each of the 12 of major Indian languages is available for research purposes. This corpus has been annotated for parts of speech using the BIS annotation guideline. However, it remains to be se...

Parts of speech tagging is a well-understood problem in NLP. The importance of the problem focuses from the fact that the Parts of Speech tagging is one of the first stages in the process performed by various natural language related process. POS tagging is the process of assigning the part of speech tag or other lexical class marker to each and every word in a sentence. POS tagging has a cruci...