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20162022
most citedProgressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition

35 citations · 41 across the 7 of their papers we have counts for

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6 papers · 1 filter

cs.CL20222 cited

Stutter-TTS: Controlled Synthesis and Improved Recognition of Stuttered Speech

Xin Zhang, Iván Vallés-Pérez, Andreas Stolcke +5

Stuttering is a speech disorder where the natural flow of speech is interrupted by blocks, repetitions or prolongations of syllables, words and phrases. The majority of existing au…

cs.CL2021

CoDERT: Distilling Encoder Representations with Co-learning for Transducer-based Speech Recognition

Rupak Vignesh Swaminathan, Brian King, Grant P. Strimel +2

We propose a simple yet effective method to compress an RNN-Transducer (RNN-T) through the well-known knowledge distillation paradigm. We show that the transducer's encoder outputs…

cs.CL20212 cited

Do as I mean, not as I say: Sequence Loss Training for Spoken Language Understanding

Milind Rao, Pranav Dheram, Gautam Tiwari +4

Spoken language understanding (SLU) systems extract transcriptions, as well as semantics of intent or named entities from speech, and are essential components of voice activated sy…

cs.CL20171 cited

Acoustic-To-Word Model Without OOV

Jinyu Li, Guoli Ye, Rui Zhao +2

Recently, the acoustic-to-word model based on the Connectionist Temporal Classification (CTC) criterion was shown as a natural end-to-end model directly targeting words as output u…

cs.CL201735 cited

Progressive Joint Modeling in Unsupervised Single-channel Overlapped Speech Recognition

Zhehuai Chen, Jasha Droppo, Jinyu Li +1

Unsupervised single-channel overlapped speech recognition is one of the hardest problems in automatic speech recognition (ASR). Permutation invariant training (PIT) is a state of t…

cs.CL2016

On Training Bi-directional Neural Network Language Model with Noise Contrastive Estimation

Tianxing He, Yu Zhang, Jasha Droppo +1

We propose to train bi-directional neural network language model(NNLM) with noise contrastive estimation(NCE). Experiments are conducted on a rescore task on the PTB data set. It i…