[PDF] Top 20 Compact Acoustic Models for Embedded Speech Recognition

... estimate acoustic parameters, compared to the classi- cal HMM-based ...HMM models is preserved but all the states are sharing a state-independent GMM that repre- sents the common acoustic ... See full document

... speaker-dependent models outperform speaker-independent models for single-speaker ...Speaker-dependent models require however a large amount of training ...clustered acoustic model. This means ... See full document

... Hindi is one of the most widely spoken languages in the world. It is the major language of India and linguistically speaking, in its everyday spoken form, it is identical to Urdu, the major language spoken in Pakistan. ... See full document

... two acoustic models mimicking the type of speech information presented by cochlear implant speech ...similar speech recognition ...of speech materials to evaluate ... See full document

... Whereas speech is the primary traditional data driven techniques such as k-means means of communication between people it is preferable clustering or knowledge driven techniques such as to be used to communicate ... See full document

... of speech recognition systems is presented in figure ...general speech recognition system there are two phases and they are speech training and speech ...typical speech ... See full document

... independent models or the monophone model is represented in terms of individual ...The models can include SIL which is a special phone that denotes silence and can also include breath ...rules, ... See full document

... DBN acoustic models achieve good recognition performance because of three distinct properties of the DBN: it is a neural network which is a very flexible model with many non-linear hidden layers and ... See full document

... language-independent acoustic modeling is a knowledge-based model by sharing of the phonemes among the ...language-independent recognition system [Marthi et ...the acoustic model from the three ... See full document

... Combining outputs from ASR systems with different acoustic models helps to provide auxiliary information for improving speech recognition accuracy. ROVER was applied on the N-best lists ... See full document

... the speech recognition ...about recognition of a speech utterance by combining and optimizing the information conveyed by the acoustic and language ... See full document

... of speech recognition unit. Speech feature-extraction module is used to extract the acoustic parameters that reflect the essential characteristics of voice, such as voice frequency, amplitude, ... See full document

... of speech data: i) a database for speech recognition and dictation, ii) a database specifically designed for dictation and iii) a database of speaker ...The speech recognition database ... See full document

... for embedded, isolated-word, real-time speech ...of acoustic data, and we implement the associated embedded software on an off-the-shelf sensor node platform that is equipped with an ... See full document

... RETURNN supports very generic and flexible pretraining which iteratively starts with a small model and adds new layers in the process. A similar pretraining scheme for deep bidirectional LSTMs acoustic ... See full document

... The context-dependent GMM system with the stan- dard setting (1740k parameters) achieved higher perfor- mance than the proposed DTAM systems. However, the difference in the performance between the GMM and DTAM systems ... See full document

... all acoustic models for all languages are listed in Table ...new models achieve better performance than CNN, CMNN, and RMNN ...network-based models achieve excellent performances compared to ... See full document

... the acoustic phonetic approach and pattern recognition ...of Acoustic phonetic and pattern recognition ...Some speech researchers developed recognition system that used ... See full document

... speech recognition in Indian languages which can be implemented as keyword spotting using articu- latory gestures as cardinal units ...building recognition engine for English with In- dian accent by ... See full document

... "Mixture models" are used to make mathematical deduction about the features of the sub-populations pooled, without sub-population recognizes information by Gaussian Mixture Models ... See full document