Droppo discusses his work in the field of speech recognition and signal processing.Read More
Automated fact-checking using evidence from tables and text
The Amazon-sponsored FEVEROUS dataset and shared task challenge researchers to create more advanced fact-checking systems.Read More
Creating sustainable, data-driven buildings
As office buildings become smarter, it is easier to configure them with sustainability management in mind.Read More
Amazon releases new dataset for commonsense dialogue
Dataset contains more than 11,000 newly collected dialogues to aid research in open-domain conversation.Read More
How Erica Aduh learned to love robots
Today she’s a research scientist working on significant challenges for Amazon Robotics, but it was a college class that proved fateful.Read More
Using learning-to-rank to precisely locate where to deliver packages
Models adapted from information retrieval deal well with noisy GPS input and can leverage map information.Read More
Estimating causality from data: How one Amazon intern used data to make an impact
Oritseweyinmi Henry Ajagbawa utilized causal inference to help examine the interaction between changes in marketing content and Amazon customer behavior.Read More
“Alexa, how do you know everything?”
How Amazon intern Michael Saxon uses his experience with automatic speech recognition models to help Alexa answer complex queries.Read More
Using synthesized speech to train speech recognizers
Data augmentation makes examples more realistic, while continual-learning techniques prevent “catastrophic forgetting”.Read More
Using warped language models to correct speech recognition errors
Model using ASR hypotheses as extra inputs reduces word error rate of human transcriptions by almost 11%.Read More