[PDF] Top 20 Using English Acoustic Models for Hindi Automatic Speech Recognition

... of Hindi to transcribe the data for ...both English and Hindi while answering the questions on the ...of English and Hindi written using the Devangari ...all English words ... See full document

... major speech corpora. The TIMIT dataset is the most popular speech corpus offered by the Linguistic Data Con- sortium and is often used for training and bench- marking speech recognition ... 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

... i.e. Hindi, Punjabi and Nepali and the other, development of language models for three Indian languages ...Indian English, Punjabi and ...language models for their ...Indian English, ... See full document

... language models needs to be capable of predict- ing code-switch points between the two ...two automatic merg- ing over the performance of Hindi-English code- switched speech ... See full document

... code-mixing speech recognition (Lyu et ...monolingual speech recognizer is ...and acoustic properties were used as the primary cues to identify the ...cross-lingual speech ... See full document

... unnatural speech material ...objective automatic speech recognition technology to automate the intelligibility ...features, automatic speech alignment based on acoustic ... See full document

... flexible models with a very large number of ...quality acoustic modelling, but it also allows them to model spurious regularities that are an accidental property of the particular examples in the training ... See full document

... new acoustic model using decision trees (DTs) as replacements for Gaussian mixture models (GMM) to compute the observation likelihoods for a given hidden Markov model state in a speech ... See full document

... and recognition was carried out using discrete ...The recognition vocabulary consists of Hindi ...word speech recognition system for Hindi language has been designed by ... See full document

... read speech corpus of code-mixed ...included. Using this metric, the Pearson’s correlation coefficient of the phonetically balanced corpus with a large code-mixed reference corpus was recorded to be ...of ... See full document

... children’s speech recognition performance on adults’ speech trained ...the speech power spectrum during signal analysis ...children’s speech with adults’ speech trained ... See full document

... In this paper, we study abstractive summariza- tion for open-domain videos. Unlike the tra- ditional text news summarization, the goal is less to “compress” text information but rather to provide a fluent textual summary ... See full document

... Deep learning approaches show better results for large datasets despite its own limita- tions and challenges. It has the ability to generalize the learning and also has a unique characteristic to utilize unlabeled data ... See full document

... ABSTRACT: Speech Recognition has been an interesting field of research for the past few ...the speech has become inevitable for communication in this current state of ...continuous speech ... See full document

... for Speech-based human-machine communications are no longer constrained to the detection of the users’ message and to speech synthesis but also the automatic characterization of the users has been ... See full document

... Interaction Using Automatic Speech Recognition [2] which uses Sphinx4 voice recognition engine for speech to text conversion for interaction with database where it requires lot ... See full document

... the acoustic-phonetic approach to speech ...the speech analysis system, which provides an appropriate (spectral) representation of the characteristics of time-varying speech ...broad ... See full document

... Usually, the Mel-frequency cepstral coefficients (MFCC) and perceptual linear prediction (PLP) features are used for phone recognition [5, 6]. To utilize the long temporal information of time-varying spectral ... See full document

... of speech recognition has extensively ...progress, speech recognition has turn out to be gradually more embedded in our on a daily basis lives with voice-motivated ...object ... See full document