Speech-centric machine learning systems have revolutionized a number of leading
industries ranging from transportation and healthcare to education and defense …

Data-driven algorithms are only as good as the data they work with, while datasets,
especially social data, often fail to represent minorities adequately. Representation Bias in …

What does it take to create the Babel Fish, a tool that can help individuals translate speech
between any two languages? While recent breakthroughs in text-based models have …

Speech datasets are crucial for training Speech Language Technologies (SLT); however,
the lack of diversity of the underlying training data can lead to serious limitations in building …

Speech is the fundamental means of communication between humans. The advent of AI and
sophisticated speech technologies have led to the rapid proliferation of human to computer …

As for other forms of AI, speech recognition has recently been examined with respect to
performance disparities across different user cohorts. One approach to achieve fairness in …

Understanding different human attributes and how they affect model behavior may become
a standard need for all model creation and usage, from traditional computer vision tasks to …

Skin tone plays a critical role in artificial intelligence (AI). However, many algorithms have
exhibited unfair bias against people with darker skin tones. One reason this occurs is a poor …

Speaker recognition is increasingly used in several everyday applications including smart
speakers, customer care centers and other speech-driven analytics. It is crucial to accurately …

It is widely known that males and females typically possess different sound characteristics
when singing, such as timbre and pitch, but it has never been explored whether these …