[PDF] Top 20 Quality Estimation for Automatic Speech Recognition

... Learning algorithms. To build our regression models we experimented with two non-parametric learn- ing approaches: Support Vector Machines (SVMs) (Shawe-Taylor and Cristianini, 2004) and Extremely Randomized Trees (XT) ... See full document

... Table 1 shows the results of models trained with different feature groups for WER prediction with a single microphone. In terms of time, in this as in the following experiments, the total time (fea- ture extraction + ... 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

... of speech feature systems exist. The selection of the quality feature set remains the main issue for the successful speech recognition ...highest quality feature system. The concept of ... 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

... of Speech recognition. The area of Speech recognition is continually changing and ...improving. Speech recognition technology is capable to make possible to communicate with ... See full document

... Speech Recognition can be defined as the process of converting speech signal to a sequence of words by means of pattern recognition ...algorithm. Speech is the preferred and most ... See full document

... of speech processing was coding speech for efficient ...like Automatic Speech Recognition (ASR), Speech Synthesis (TTS), Speech Enhancement, Automatic Language ... See full document

... example, in the preceding sentence, there is much greater cohesion between the words “the”, “various” and “degrees” than between “structure” and the succeeding word “that”. By “cohesion” is meant frequency of ... See full document

... of speech waveform signal is called as feature extraction ...the speech waveform signal to a digital standard form, measuring some vital characters of the speech waveform signal such as frequency ... See full document

... decent quality for non-native ...of speech datasets for a certain ...of speech signal characteristics in one particular ...a speech recognition classi- fier for one language and one ... See full document

... word speech recognition is the system where the words are separated by ...word speech recognition is a class of fluent speech strings where the set of strings is derived from ... 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

... Generally, tag accuracy mainly depends on the chosen tag set. To evaluate how the granularity of the tag set acts upon tagging performance, we give in Table 2 the results observed by ignoring some errors. The last line ... See full document

... Our experiments aims at obtaining SGMM shared parame- ters using both S WEET -H OME data (7h), Voix-détresse (28mn) and clean data (ESTER+REPERE 500h). Regarding the GMM part, the three training data set are just merged ... 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

... commercial speech-enabled products are constructed using grammar-based ...of speech-enabled applications is that expertise is also required to integrate the speech capability with the application ... See full document

... and Speech processing is researched in terms of speech production and perception of the sounds which are used in vocal ...air. Speech sounds are analyzed from many points of view namely Articulatory, ... 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

... 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