We propose a framework that leverages articulatory phonology for speech recognition. “Gestural pattern vectors” (GPV) encode the instantaneous gestural activations that exist across all tract variables at each time. Given a speech observation, recognizing the sequence of GPV recovers the ensemble of gestural activations, i.e., the gestural score. For each word in the vocabulary, we use a task d...

Word level confidence measures are of use in many areas of speech recognition. Comparing the hypothesized word score to the score of a ‘filler’ model has been the most popular confidence measure because it is highly efficient, and does not require a large amount of training data. This paper explores an extension of this technique which also compares the hypothesized word score to the scores of ...

We examined whether word recognition accuracy and latency of words children encounter during primary school across the upper grades can be predicted from form (word length, mean Levenshtein distance, frequency neighbors), meaning (free association network markers) exposure (corpus contextual diversity). As a measure recognition, 1454 (M = 10.1 years, SD 11.8 months, 52.4% girls) in grade 3, 4 5...

of Patent 4783803) A system is disclosed for recognizing a pattern in a collection of data given a context of one or more other patterns previously identified. Preferably the system is a speech recognition system, the patterns are words and the collection of data is a sequence of acoustic frames. During the processing of each of a plurality of frames, for each word in an active vocabulary, the ...

The acoustic cues of the speech signals which are consisted of consonants and vowels are very important for speech perception in noisy competing situations. Since the perception in noise test is one of the valuable measures in the perception/production abilities, so the objective of this study is to determinate a norm for word recognition in white noise (WN) with a signal-to-noise ratio (SNR) b...

Speech can be represented as a constellation of constricting events, gestures, which are defined at distinct vocal tract sites, in the form of a gestural score. Gestures and their output trajectories, tract variables, which are available only in synthetic speech, have recently been shown to improve automatic speech recognition (ASR) performance paper we propose an iterative analysis-by-synthesi...

In extensive experiments, the recognition score of a speaker independent isolated word speech recognition system based on a continuous density HMM (CDHMM) has been measured in the presence of real life noises in various SNRs. In all experiments the results show improvement in the mean recognition score when the subband adaptive filtering LMS method is used in comparison to the full-band LMS met...

background and aim: digits are suitable materials for hearing assessment of wide range of patients including children and adults with various language abilities. single monosyllabic 1-10 digits in triplet formant have been used for measuring speech recognition threshold in signal-to-noise ratio. the purpose of this study was to determine signal-to-noise ratio (snr) needed for 50 percent correct...

This paper presents a novel verification approach towards improvement of handwriting recognition systems using a word hypotheses rescoring scheme by Deep Belief Networks (DBNs). A recurrent neural network based sequential text recognition system is used at first to provide the N-best recognition hypotheses of word images. Word hypotheses are aligned with the word image to obtain the character b...