90 citations · 224 across the 14 of their papers we have counts for
7 papers · 1 filter
On the Use of External Data for Spoken Named Entity Recognition
Ankita Pasad, Felix Wu, Suwon Shon +2
Spoken language understanding (SLU) tasks involve mapping from speech audio signals to semantic labels. Given the complexity of such tasks, good performance might be expected to re…
SLUE: New Benchmark Tasks for Spoken Language Understanding Evaluation on Natural Speech
Suwon Shon, Ankita Pasad, Felix Wu +4
Progress in speech processing has been facilitated by shared datasets and benchmarks. Historically these have focused on automatic speech recognition (ASR), speaker identification,…
SRU++: Pioneering Fast Recurrence with Attention for Speech Recognition
Jing Pan, Tao Lei, Kwangyoun Kim +2
The Transformer architecture has been well adopted as a dominant architecture in most sequence transduction tasks including automatic speech recognition (ASR), since its attention…
Performance-Efficiency Trade-offs in Unsupervised Pre-training for Speech Recognition
Felix Wu, Kwangyoun Kim, Jing Pan +3
This paper is a study of performance-efficiency trade-offs in pre-trained models for automatic speech recognition (ASR). We focus on wav2vec 2.0, and formalize several architecture…
Multi-mode Transformer Transducer with Stochastic Future Context
Kwangyoun Kim, Felix Wu, Prashant Sridhar +2
Automatic speech recognition (ASR) models make fewer errors when more surrounding speech information is presented as context. Unfortunately, acquiring a larger future context leads…
Leveraging Pre-trained Language Model for Speech Sentiment Analysis
Suwon Shon, Pablo Brusco, Jing Pan +2
In this paper, we explore the use of pre-trained language models to learn sentiment information of written texts for speech sentiment analysis. First, we investigate how useful a p…
A Review of Speaker Diarization: Recent Advances with Deep Learning
Tae Jin Park, Naoyuki Kanda, Dimitrios Dimitriadis +3
Speaker diarization is a task to label audio or video recordings with classes that correspond to speaker identity, or in short, a task to identify "who spoke when". In the early ye…