Search Results for author:
Found 14 papers, 2 papers with code
Improving Bilingual Lexicon Induction for Low Frequency Words
This paper designs a Monolingual Lexicon Induction task and observes that two factors accompany the degraded accuracy of bilingual lexicon induction for rare words.
Training on Lexical Resources
We propose using lexical resources (thesaurus, VAD) to fine-tune pretrained deep nets such as BERT and ERNIE.
Data Augmentation for the Post-Stroke Speech Transcription (PSST) Challenge: Sometimes Less Is More
The result represents a relative error reduction of 14% over the baseline model trained without data augmentation.
Extreme Encoder Output Frame Rate Reduction: Improving Computational Latencies of Large End-to-End Models
In the present work, we study one such strategy: applying multiple frame reduction layers in the encoder to compress encoder outputs into a small number of output frames.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Massive End-to-end Models for Short Search Queries
In this work, we investigate two popular end-to-end automatic speech recognition (ASR) models, namely Connectionist Temporal Classification (CTC) and RNN-Transducer (RNN-T), for offline recognition of voice search queries, with up to 2B model parameters.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Data-Driven Adaptive Simultaneous Machine Translation
In simultaneous translation (SimulMT), the most widely used strategy is the wait-k policy thanks to its simplicity and effectiveness in balancing translation quality and latency.
W-CTC: a Connectionist Temporal Classification Loss with Wild Cards
Standard CTC computes a loss by aggregating over all possible alignment paths, that map the entire sequence to the entire label (full alignment).
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+2
Automatic recognition of suprasegmentals in speech
This study reports our efforts to improve automatic recognition of suprasegmentals by fine-tuning wav2vec 2. 0 with CTC, a method that has been successful in automatic speech recognition.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
Decoupling recognition and transcription in Mandarin ASR
Much of the recent literature on automatic speech recognition (ASR) is taking an end-to-end approach.
Automatic Speech Recognition
Automatic Speech Recognition (ASR)
+1
The Role of Phonetic Units in Speech Emotion Recognition
Models of phonemes, broad phonetic classes, and syllables all significantly outperform the utterance model, demonstrating that phonetic units are helpful and should be incorporated in speech emotion recognition.
On Attention Redundancy: A Comprehensive Study
(What) We define and focus the study on redundancy matrices generated from pre-trained and fine-tuned BERT-base model for GLUE datasets.
Better than BERT but Worse than Baseline
This paper compares BERT-SQuAD and Ab3P on the Abbreviation Definition Identification (ADI) task.
Isotropy in the Contextual Embedding Space: Clusters and Manifolds
We hope the study in this paper could provide insights towards a better understanding of the deep language models.
DTWNet: a Dynamic Time Warping Network
Dynamic Time Warping (DTW) is widely used as a similarity measure in various domains.
