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Found 7 papers, 2 papers with code
IE-CPS Lexicon: An Automatic Speech Recognition Oriented Indian-English Pronunciation Dictionary
Due to this, automatic speech recognition (ASR) systems developed for American or British varieties of English result in poor performance on Indian English data.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Unsupervised speech intelligibility assessment with utterance level alignment distance between teacher and learner Wav2Vec-2.0 representations
Speech intelligibility is crucial in language learning for effective communication.
An Investigation of Indian Native Language Phonemic Influences on L2 English Pronunciations
We demonstrate the influence of 18 Indian languages on IE by comparing the native language pronunciations with IE pronunciations obtained jointly from existing literature studies and phonetically annotated speech of 80 speakers.
Study of Indian English Pronunciation Variabilities relative to Received Pronunciation
To address these issues, in this work, we consider a corpus, Indic TIMIT, containing a large set of IE varieties from 80 speakers from various regions of India.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
mulEEG: A Multi-View Representation Learning on EEG Signals
Our method attempts to effectively utilize the complementary information available in multiple views to learn better representations.
A study on native American English speech recognition by Indian listeners with varying word familiarity level
We observe that the sentence, speaker difficulty ratings and the WERs increase from easy to hard categories of sentences.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+3
Multilingual and code-switching ASR challenges for low resource Indian languages
For this purpose, we provide a total of ~600 hours of transcribed speech data, comprising train and test sets, in these languages including two code-switched language pairs, Hindi-English and Bengali-English.
