22 citations · 60 across the 15 of their papers we have counts for
11 papers · 1 filter
Cascaded Multilingual Audio-Visual Learning from Videos
Andrew Rouditchenko, Angie Boggust, David Harwath +8
In this paper, we explore self-supervised audio-visual models that learn from instructional videos. Prior work has shown that these models can relate spoken words and sounds to vis…
Speak or Chat with Me: End-to-End Spoken Language Understanding System with Flexible Inputs
Sujeong Cha, Wangrui Hou, Hyun Jung +5
A major focus of recent research in spoken language understanding (SLU) has been on the end-to-end approach where a single model can predict intents directly from speech inputs wit…
Leveraging Unpaired Text Data for Training End-to-End Speech-to-Intent Systems
Yinghui Huang, Hong-Kwang Kuo, Samuel Thomas +5
Training an end-to-end (E2E) neural network speech-to-intent (S2I) system that directly extracts intents from speech requires large amounts of intent-labeled speech data, which is…
Challenging the Boundaries of Speech Recognition: The MALACH Corpus
Michael Picheny, Zóltan Tüske, Brian Kingsbury +3
There has been huge progress in speech recognition over the last several years. Tasks once thought extremely difficult, such as SWITCHBOARD, now approach levels of human performanc…
Acoustic Model Optimization Based On Evolutionary Stochastic Gradient Descent with Anchors for Automatic Speech Recognition
Xiaodong Cui, Michael Picheny
Evolutionary stochastic gradient descent (ESGD) was proposed as a population-based approach that combines the merits of gradient-aware and gradient-free optimization algorithms for…
English Broadcast News Speech Recognition by Humans and Machines
Samuel Thomas, Masayuki Suzuki, Yinghui Huang +8
With recent advances in deep learning, considerable attention has been given to achieving automatic speech recognition performance close to human performance on tasks like conversa…