the relation between the variants of the frequency and the length of the word is among the laws that george kinsley zipf discovered, according to which, the longer is the length of a word, the less is the frequency of its application in the text. it is tried in the present research to examine this law, which has not been so far examined on the arabic language of the qur’ān, with a concentration...

An improved method for phoneme recognition in noise is presented using an auditory image model and cross-correlation in a binaural approach called the binaural auditory image model (BAIM). Current binaural methods are explained as background to BAIM processing. BAIM and a variation of the cocktail-party-processor incorporating the auditory image model are applied in phoneme recognition experime...

We present a method for phoneme recognition using an expert system combining spectrogram reading knowledge and neural networks, and we report its performance. The proposed expert system consists of two parts : (1) phoneme segmentation based on spectrogram reading knowledge used by human experts, and (2) phoneme identification using neural networks applied to the phoneme boundaries determined in...

In this paper, we present a spectro-temporal feature extraction technique using sub-band Hilbert envelopes of relatively long segments of speech signal. Hilbert envelopes of the sub-bands are estimated using Frequency Domain Linear Prediction (FDLP). Spectral features are derived by integrating the sub-band Hilbert envelopes in short-term frames and the temporal features are formed by convertin...

Two eye movement experiments examined whether skilled readers include vowels in the early phonological representations used in word recognition during silent reading. Target words were presented in sentences preceded by parafoveal previews in which the vowel phoneme was concordant or discordant with the vowel phoneme in the target word. In Experiment 1, the orthographic vowel differed from the ...

In this work the output density functions of hidden Markov models are phoneme-wise tied mixture Gaussians. For training these tied mixture density HMMs, modiied versions of the Viterbi training and LVQ based corrective tuning are described. The initialization of the mean vectors of the mixture Gaussians is performed by rst composing small Self-Organizing Maps representing each phoneme and then ...

We investigate the detection of spoken terms in conversational speech using phoneme recognition with the objective of achieving smaller index size as well as faster search speed. Speech is processed and indexed as a sequence of one best phoneme sequence. We propose the use of a probabilistic pronunciation model for the search term to compensate for the errors in the recognition of phonemes. Thi...

In this paper, we present a systems approach for channel modeling of an Automatic Speech Recognition (ASR) system. This can have implications in improving speech recognition components, such as through discriminative language modeling. We simulate the ASR corruption using a phrase-based machine translation system trained between the reference phoneme and output phoneme sequences of a real ASR. ...