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Artwork for Our Digital Life Podcast: A series by IEEE-SPS

Our Digital Life Podcast: A series by IEEE-SPS

IEEE-SPS
Speech Recognition
Artificial Intelligence
Signal Processing
Machine Learning
Deep Learning
Medical Imaging
Neural Networks
Scantrust
Face Morphing Attacks
Speech Translation
Healthcare
Wireless Networks
Deep Neural Networks
End-To-End Speech Translation
DCASE 2026 Task 2
Anomalous Sound Detection
Target Speaker Extraction
Large Language Models
Trustworthy AI
Audio Signal Processing

As the world's largest professional organization, IEEE plays a significant role in enhancing the quality of our lives. Specifically, the IEEE signal processing society or SPS focuses on research and development of audio and speech processing, biomedical analysis, and wireless communication technologies, all of which are key enablers to today's modern society. In this series, we explore more about ... more

PublishesMonthlyEpisodes16Founded2 years ago
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PhysicsScience

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Artwork for Our Digital Life Podcast: A series by IEEE-SPS

Latest Episodes

In this interesting episode of IEEE Signal Processing Society podcast, Dr. Kashyap Patel, Research Scientist from Audio DSP and Machine Learning, Meta Platforms, Inc. interviews Professor Issa M.S. Panahi from the Department of Electrical and Compute... more

In this episode of IEEE Signal processing Society podcast, Dr. Shinji Watanabe, an Associate Professor at Carnegie Mellon University interviews two guests: Dr. Jonathan Le Roux, Distinguished Research Scientist and Dr. Gordon Wichern, both from Mitsu... more

In this episode, Prof. Hung-yi Lee, Professor at National Taiwan University, interviews Dr. Jinyu Li, Partner Applied Science Manager at Microsoft. Their conversation traces the evolution of speech translation from traditional cascaded pipelines to t... more

In this episode, Nantheera Anantrasirichai (Pui), Professor of Visual Computing at the University of Bristol, interviews Professor Alin Achim, Chair of Computational Imaging at the University of Bristol. Their conversation focuses on synthetic apertu... more

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Recent Guests

Jonathan Le Roux
Distinguished Research Scientist and Senior Team Leader at Mitsubishi Electric Research Laboratories
Mitsubishi Electric Research Laboratories
Episode: Open Science at MERL: Organizing, Breaking, and Winning Speech and Audio Challenges
Gordon Wichern
Lead Research Scientist at Mitsubishi Electric Research Laboratories
Mitsubishi Electric Research Laboratories
Episode: Open Science at MERL: Organizing, Breaking, and Winning Speech and Audio Challenges
Jinyu Li
Partner Applied Science Manager at Microsoft; IEEE Fellow
Microsoft
Episode: Breaking the Language Barrier — How AI Speech Translation Is Rewriting Our Digital Lives
Pui Anantrasirichai
Professor of Visual Computing, University of Bristol
University of Bristol
Episode: SAR, InSAR, and the Future of Earth Observation
Alin Achim
Professor and Chair of Computational Imaging, University of Bristol
University of Bristol
Episode: SAR, InSAR, and the Future of Earth Observation
Marija Ivanovska
Assistant at the Faculty of Electrical Engineering at the University of Ljubljana, Slovenia
University of Ljubljana, Laboratory of Machine Intelligence
Episode: The Face That Isn’t One Person: Morphing Attacks and the Future of Face Recognition
Marco Huber
Research associate at Fraunhofer IGD
Fraunhofer Institute for Computer Graphics Research, IGD
Episode: The Face That Isn’t One Person: Morphing Attacks and the Future of Face Recognition
Hemang Chawla
Scantrust Solutions Lead
Scantrust
Episode: Stopping Counterfeiting with QR Codes and AI
Justin Picard
Co-founder and CDO
Scantrust
Episode: Stopping Counterfeiting with QR Codes and AI

Chart Rankings

How this podcast ranks in the Apple Podcasts, Spotify and YouTube charts.

Apple Podcasts
#35
United States/Science/Physics
Apple Podcasts
#87
Canada/Science/Physics
Apple Podcasts
#24
Germany/Science/Physics
Apple Podcasts
#33
France/Science/Physics
Apple Podcasts
#86
Australia/Science/Physics
Apple Podcasts
#6
Philippines/Science/Physics
Apple Podcasts
#12
Denmark/Science/Physics
Apple Podcasts
#19
India/Science/Physics
Apple Podcasts
#33
Brazil/Science/Physics
Apple Podcasts
#33
Israel/Science/Physics
Apple Podcasts
#36
Japan/Science/Physics
Apple Podcasts
#41
Sweden/Science/Physics
Apple Podcasts
#47
Norway/Science/Physics
Apple Podcasts
#48
Switzerland/Science/Physics
Apple Podcasts
#197
Philippines/Science
Apple Podcasts
#235
Denmark/Science

Talking Points

Recent interactions between the hosts and their guests.

Open Science at MERL: Organizing, Breaking, and Winning Speech and Audio Challenges
Q: Does winning a challenge necessarily mean that you have the best practical systems?
No. A winning system may be optimized for a particular challenge's metrics or rely on large models and ensembles, while practical systems must also account for compute and other real-world constraints.
Open Science at MERL: Organizing, Breaking, and Winning Speech and Audio Challenges
Q: Why have challenges been so important to the field?
They define problems, assemble datasets and evaluation metrics, and focus the efforts of multiple teams. Repeated challenges can reveal issues and make tasks more realistic over time.
The Cutting Edge of Speech Recognition
Q: Where do you see the future of speech recognition going?
I think multi-modality becomes more important and we should focus on understanding entire human conversations.
The Cutting Edge of Speech Recognition
Q: What do you think are driving these improvements?
It's a combination of increased data quality, improved computing resources, and open-source knowledge sharing.
Signal Processing and AI Synergies
Q: What do you think is going to be the next big innovation for all of these AI and ML?
Novelty is unpredictable, but it seems large language models and generative models will continue to thrive, with the possibility of a comeback for recurrent neural networks.

Audience Metrics

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Frequently Asked Questions About This Podcast

What is This Podcast about and what kind of topics does it cover?

The show centers on the practical and societal implications of advances in signal processing, AI, and related technologies. Episodes commonly explore real-world deployments, from AI-driven speech translation and enterprise interpretation to edge computing for on-device analytics, as well as imaging, sensing, and security applications like SAR/InSAR and anti-counterfeiting with QR codes. A recurring thread is balancing performance with interpretability and trust, highlighting challenges in domain-specific terminology, low-resource languages, and robust evaluation. Notable is a strong emphasis on bridging academia and industry—sharing deployment stories, practical trade-offs, and future directions for researchers, practitioners, and engineers... more

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Recent guests on this podcast include:

1. Jonathan Le Roux
2. Gordon Wichern
3. Jinyu Li
4. Pui Anantrasirichai
5. Alin Achim
6. Marija Ivanovska
7. Marco Huber
8. Hemang Chawla

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