[PDF] Top 20 Literature Review on Automatic Speech Recognition

... of recognition rate in comparison to the results obtained with VQ ...100% recognition rate with the combined application of VQ & ANN is great but the increase in recognition rate is not ...a ... See full document

... emotion recognition by a computer system is an active research area for more than a decade ...an Automatic Speech Recognition (ASR) system which can help to make interaction between human and ... See full document

... the speech patterns are used directly without feature determination and ...of speech is called classification because the machine knows which property of the speech class is reliable and repeatable ... See full document

... Real advances in computer technology have far outstripped even the vision of Star Trek in terms of miniaturization, communications, and the overall ubiquity of computation. Yet, due to the practical challenges of ... See full document

... a speech recognition system used microphone for person to speak or getting data from the speaker; a computer to take and interpret the speech; a good quality soundcard for input and/or output; a ... See full document

... Features. As shown in Table 1, the features used in our experiments (68 in total) can be categorized in four main groups. The first group (ASR features) includes several glass-box features proposed in previous ... See full document

... Researchers have determined that systems, such as those reviewed in prior sections, which rely on abstract visualizations as feedback do not seem to work well for children. Neri et al. have identified a major problem ... See full document

... different speech recognition ...training. Automatic Speech Recognition systems using DNN- HMM for some language has been developed but still there are a lot of languages to be ... See full document

... [18].Jean Francois, Jan.1997, Automatic Word Recognition Based on Second Order Hidden Markov Models , IEEE Transactions on Audio, Speech and Language processing Vol.5,No.1.. [19].Mohamed[r] ... 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

... ABSTRACT: Speech is fundamental mode of communication among the human ...called speech. Due to his different characteristics speech becomes important attribute in aural ...speaker recognition. ... See full document

... The question is at which point during the process of speech production this neutral phonological phrase is encoded. Ferreira (1993) considers that the prosodic constituent structure is generated without knowledge ... See full document

... In this paper, we addressed the challenges of using ASR to support the linguist translating audio files. Since there is large variability in incoming audio files, we experimented solely with clearly recorded files to ... See full document

... Artificial Neural Networks (ANNs) perform incredibly well in many fields of application, even out- performing humans. In particular, deep learning (DL) has been used with great success in a variety of tasks. The most ... See full document

... days Speech recognition is integrated with numerous real world applications such as telecommunications, Health care, Military, Robotics, Telecommunications, Mobile Applications, Scan soft, [2] and ... See full document

... The scenarios were elaborated after field studies made by the GRePS laboratory [17]. These studies allowed to specify the fall context, the movements during the fall as well as the per- son’s reaction once on the floor. ... See full document

... Automatic Speech Recognition (ASR) is becoming an im- portant part of our lives, both as a viable alternative for humans-computer interaction, but also as a tool for linguis- tics and speech ... See full document

... The high degree of variation in articulatory patterns across speakers has been a barrier for speaker-independent speech recognition with articulatory data. Multiple sources contributed to the inter-talker ... See full document

... Captioning for Deaf and Hard of Hearing People by Editing Automatic Speech Recognition in Real Time.. Mike Wald.[r] ... See full document

... end-to-end speech recognition setup that consisted of one network perform- ing conversion from the acoustic domain to the textual ...labeled speech datasets, without the need to align the text with ... See full document