[PDF] Top 20 Evaluating Automatic Speech Recognition in Translation

... and translation; that is, a media player capable of going back and forth in the audio stream, looping over segments in order to listen and re-listen to unclear sections, and slowing down the audio in order to ... See full document

... that evaluating the results from introspection techniques on images is intuitive for a ...but evaluating the results is hard, as a human expert cannot easily interpret the input data in the first ... See full document

... the Automatic Speech Recognition (ASR), and more recently referred to as the Speech-To-Text (STT), research ...Telephone Speech (CTS), Broadcast News (BN), and Meetings (MTG) to name a ... See full document

... continuous speech recognition ...by evaluating models obtained with different state-of-the-art learning algorithms, we showed that our automatic predictions outperform a strong baseline and ... See full document

... like automatic er- ror detection, efficient usage of computational re- sources, scalability, easy of reproducibility, abil- ity to share work with others have been proven to be extremely helpful for our ... See full document

... via speech translation technology deployed in KIT’s lec- ture ...French. Automatic si- multaneous translation is more than just the concatenation of automatic speech recogni- ... See full document

... Politicians versus interpreters In the EPPS data there are two main categories of speakers: the interpreters and the politicians. We have computed the results for each category for English. The results are shown in ... See full document

... trained speech translation system, in this study, we try to combine distinctive features derived from the two modules: speech recognition and statistical machine translation, in a log- ... See full document

... Typical speech-to-text translation systems pipeline automatic speech recognition (ASR) and machine translation (MT) (Waibel and Fugen, ...limited speech translation ... 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

... language translation software stores frequently used terms, sentence and axiom in a database that is accessed when any information wants to ...machine translation [7] uses quantity linguistic techniques to ... See full document

... some speech segments show two features that suggest the presence of an internal clocking mechanism: first, certain segments are quite regular, and second, the variations for some durations ... See full document

... The aforementioned Wavenet model was designed in a similar manner to Deepmind’s original Wavenet [23]. The general idea of the model is to predict the audio sam- ple based on the series of previous audio samples [24]. In ... 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

... 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

... phase speech signal is converted into a sequence of feature vectors based on spectral and temporal ...in speech recognition, we divide the speech signals into frames and extract features from ... 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

... Firstly it should be possible to easily add words and their pronunciations to the lexicon. It should be possible to cor- rect recognition errors from the transcription pane, and at the same time inspect and ... See full document

... continuous speech recognizer for Tamil language using syllable as a sub-word unit for building acoustic ...syllables. Recognition accuracy was fairly good but around 10% increase in WER has been attributed ... See full document

... communication. Speech is a one dimensional ...characterizing speech, one of which according to information theory is to represent the speech in terms of its message or information ...represent ... See full document