S
Sanjeev Khudanpur
Researcher at Johns Hopkins University
Publications - 325
Citations - 30308
Sanjeev Khudanpur is an academic researcher from Johns Hopkins University. The author has contributed to research in topics: Language model & Machine translation. The author has an hindex of 59, co-authored 301 publications receiving 23189 citations. Previous affiliations of Sanjeev Khudanpur include BBN Technologies.
Papers
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Proceedings Article
Recurrent neural network based language model
TL;DR: Results indicate that it is possible to obtain around 50% reduction of perplexity by using mixture of several RNN LMs, compared to a state of the art backoff language model.
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Librispeech: An ASR corpus based on public domain audio books
TL;DR: It is shown that acoustic models trained on LibriSpeech give lower error rate on the Wall Street Journal (WSJ) test sets than models training on WSJ itself.
Proceedings ArticleDOI
X-Vectors: Robust DNN Embeddings for Speaker Recognition
TL;DR: This paper uses data augmentation, consisting of added noise and reverberation, as an inexpensive method to multiply the amount of training data and improve robustness of deep neural network embeddings for speaker recognition.
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Extensions of recurrent neural network language model
TL;DR: Several modifications of the original recurrent neural network language model are presented, showing approaches that lead to more than 15 times speedup for both training and testing phases and possibilities how to reduce the amount of parameters in the model.
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Audio augmentation for speech recognition.
TL;DR: This paper investigates audio-level speech augmentation methods which directly process the raw signal, and presents results on 4 different LVCSR tasks with training data ranging from 100 hours to 1000 hours, to examine the effectiveness of audio augmentation in a variety of data scenarios.