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Something to Talk About: Signal Processing in Speech and Audiology Research: Promising Investigations Explore New Opportunities in Human Communication

Speech, the expression of thoughts and feelings by articulating sounds, is an ability so taken for granted that few people bother to think about how complex and nuanced the process actually is. Yet, as more devices gain the ability to listen to and interpret what speakers are saying, speech and audiology technologies are attracting the interest of a growing number of academic researchers. Signal processing is now playing a critical role in making speech detection and recognition more accurate, flexible, and reliable for use in a wide range of research and everyday applications.

Making Papers, Code, and Data Accessible

There have been three key revolutions in the way that research has become accessible: publishing, code, and data. The second and third revolutions are still taking place, particularly driven by the rise of machine-learning and artificial intelligence research in the last decade. When I started my research career in 1995, the World Wide Web was still in its infancy. The popular Netscape browser had just been launched. Search engines were not widely used. While many academics owned e-mail addresses, few had web pages. If they did, they were not kept current.

Twinkle, Twinkle, Little Star

The title of this editorial is borrowed from a popular children’s lullaby from the 1800s, which reads “Twinkle, twinkle, little star, how I wonder what you are!” It reminds me of the vast expanse of unexplored space (and science) that lie before us. 
 
The human race has always been fascinated by space - and who would not be? Its shining stars continually challenge us to get closer and unravel their mysteries.

SPM Special Issue on Recent Advances in Music Signal Processing

Music is a ubiquitous and vital part of our lives. Thanks to the digital revolution in music distribution and storage, music has become one of the most popular categories of multimedia content. In general terms, music processing research contributes concepts, models, and algorithms that extend our capabilities of accessing, analyzing, manipulating, and creating music.