phoneme recognition
Improvements in the Stochastic Segment Model for Phoneme Recognition
... Improvements in the Stochastic Segment Model for Phoneme Recognition Improvements in the Stochastic Segment Model for Phoneme Recognition V D i g a l a k i s t M O s t e n d o f f t J R Rohlicek ~ t B[.] ...
7
A Comparative Study of Phoneme Recognition using GMM HMM and ANN based Acoustic Modeling
... speech recognition (ASR) is the core challenge towards the natural human-to-machine communication ...(speech recognition) and vice versa by generating artificial voice which is close to natural human voice ...
5
Speech/Non-Speech Segmentation Based on Phoneme Recognition Features
... on phoneme recognition features suitable for speech/non-speech discrimination ...different phoneme speech recognizers are introduced and applied in two differ- ent segmentation-classification ...
13
A novel voice activity detection based on phoneme recognition using statistical model
... on phoneme recognition using Gaussian Mixture Model based Hidden Markov Model (HMM/GMM) is ...new phoneme corresponding to the conventional phonemes in mandarin, and all of them are then trained ...
10
New variant of the Self Organizing Map in Pulsed Neural Networks to Improve Phoneme Recognition in Continuous Speech
... pattern recognition suppose that the dynamic process to recognize is ...speech recognition or contextual information, on different of the time interval, is crucial for ...
7
Sparse Coding for Arabic Phoneme Classification
... for phoneme classification [9,10].They used the sparse coding of the phoneme test samples, on a dictionary composed of phoneme exemplars as discriminative features, and fed these sparse codes to the ...
11
Persian Phonological Awareness Tests: A Comparative Analysis
... including phoneme segmentation, phoneme combina- tion, and deleting the first and final phoneme of ...in phoneme awareness section are the identification of first phoneme and final ...
10
Predicting speech intelligibility
... Internal representations of sound can provide insights into speech intelligibility [19; 72; 94; 98]. Clinical testing has developed a good understanding of auditory periphery and allowing the auditory nerve outputs for a ...
141
Speech Intelligibility prediction using a Neurogram Similarity Index Measure
... word recognition (Studebaker et al., 1993) followed by a word-to-phoneme recognition transfer function(Boothroyd, ...SII phoneme recognition predictions in quiet and ...
35
Spectral Learning of Refinement HMMs
... Of special interest is Cohen et al. (2012), who describe a derivation for a spectral algorithm for L-PCFGs. This derivation is the main driving force behind the derivation of our R-HMM spec- tral algorithm. For work on ...
9
Learning a Lexicon and Translation Model from Phoneme Lattices
... from phoneme lattices and translations of the speech being tran- ...demonstrate phoneme error rate improvements against two baselines and the model’s ability to learn useful bilin- gual lexical ...
6
Unsupervised Segmentation of Phoneme Sequences based on Pitman Yor Semi Markov Model using Phoneme Length Context
... the phoneme-level representation of utterance – not in the signal-level – to relax the problem, which results in an issue with phoneme sequence ...input phoneme sequence into segmented sub-sequences ...
10
Data Driven Approaches to Phonetic Transcription with Integration of Automatic Speech Recognition and Grapheme-to-Phoneme for Spoken Buddhist Sutra
... speech recognition, text-to-speech, and speech database construction [Haeb-Umbach et ...speech recognition task, or more specifically, the phoneme recognition ...including phoneme ...
22
Letter Phoneme Alignment: An Exploration
... Letter-to-phoneme (L2P) conversion (also called grapheme-to-phoneme conversion) is the task of predicting the pronunciation of a word given its orthographic form by converting a sequence of letters into a ...
9
Cross Linguistic Phoneme Correspondences
... In this paper, we have presented the theory of meta- phonemes. We have illustrated our theory with the definition of cross-linguistic phoneme correspon- dences for English, Dutch, and German. We believe that our ...
5
The Importance of Prosodic Factors in Phoneme Modeling with Applications to Speech Recognition
... The experimental procedure can be divided into two steps. In step one, the training data was used to re-estimate the HMM definitions for each phoneme. Re-estimation was performed with the HTK tool HRest, which ...
6
The selective role of premotor cortex in speech perception : A contribution to phoneme judgements but not speech comprehension
... of phoneme segments is required (Rogalsky et ...explicit phoneme judgment, where access to categorical representations of speech sounds is used to guide phoneme segmentation and manipulation ...
11
Collecting and Evaluating Speech Recognition Corpora for Nine Southern Bantu Languages
... Speech recognition systems exist for only a handful of African languages (Roux et ...speech recognition systems use sta- tistical models which are trained on corpora of relevant speech ...
8
Automatic Induction of Finite State Transducers for Simple Phonological Rules
... Our algorithm guesses the most probable phoneme to phoneme alignment between the input and output strings, and uses this information to distribute the output symbols among the arcs of th[r] ...
7
Sound Analogies with Phoneme Embeddings
... learned phoneme embed- dings, and whether phoneme vector spaces align with articulatory distinctive features, using several methods of obtaining such continuous-space ...in phoneme distribu- ...
9