Interspeech Conference 2023: Exploring Apple’s Cutting-Edge Machine Learning Research
Introduction:
Apple is proud to sponsor the Interspeech Conference, which is set to be held in Dublin, Ireland from August 20 to 24. Recognized as the largest and most comprehensive conference on the science and technology of spoken language processing, Interspeech brings together experts and researchers from around the world. As part of its sponsorship, Apple is organizing a series of workshops and events throughout the conference. Attendees can expect exciting presentations and discussions on topics such as latent phrase matching for dysarthric speech, unified query rewriting, and approximate nearest neighbor phrase mining. Join us at Interspeech 2023 to explore the latest advancements in spoken language processing and witness Apple’s contribution to the field.
Full Article: Interspeech Conference 2023: Exploring Apple’s Cutting-Edge Machine Learning Research
Apple Sponsors Interspeech Conference 2023 in Dublin, Ireland
Apple is excited to announce its sponsorship of the Interspeech Conference 2023, the world’s largest and most comprehensive conference on the science and technology of spoken language processing. The conference will take place in person from August 20 to 24 in Dublin, Ireland. With Apple’s support, the event is set to bring together experts and researchers in the field to discuss the latest advancements and innovations in spoken language processing. Below is a schedule of the workshops and events sponsored by Apple at Interspeech 2023.
Saturday, August 19
Monday, August 21
Workshop: Latent Phrase Matching for Dysarthric Speech
Time: 11:00 AM – 1:00 PM LT
Presenters: Colin Lea, Dianna Yee, Jaya Narain, Zifang Huang, Lauren Tooley, Jeffrey P. Bigham, Leah Findlater
Workshop: 5IDER: Unified Query Rewriting for 5teering, Intent Carryover, Disfluencies, Entity Carryover and Repair
Time: 2:30 – 4:30 PM LT
Presenters: Jiarui Lu, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Site Li, Xueyun Zhu, Hong Yu, Murat Akbacak
Workshop: Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognition
Time: 2:30 – 4:30 PM LT
Presenters: Maurits Bleeker, Pawel Swietojanski, Stefan Braun, Xiaodan Zhuang
Tuesday, August 22
Wednesday, August 23
Accepted Papers
The conference will feature several accepted papers that cover a wide range of topics related to spoken language processing. Some of the notable papers include:
– 5IDER: Unified Query Rewriting for 5teering, Intent Carryover, Disfluencies, Entity Carryover and Repair
Presenters: Jiarui Lu, Bo-Hsiang Tseng, Joel Ruben Antony Moniz, Site Li, Xueyun Zhu, Hong Yu, Murat Akbacak
– Approximate Nearest Neighbour Phrase Mining for Contextual Speech Recognition
Presenters: Maurits Bleeker, Pawel Swietojanski, Stefan Braun, Xiaodan Zhuang
– Efficient Multimodal Neural Networks for Trigger-less Voice Assistants
Presenters: Sai Srujana Buddi, Utkarsh Oggy Sarawgi, Tashweena Heeramun, Karan Sawnhey, Ed Yanosik, Saravana Rathinam, Saurabh Adya
– Latent Phrase Matching for Dysarthric Speech
Presenters: Colin Lea, Dianna Yee, Jaya Narain, Zifang Huang, Lauren Tooley, Jeffrey P. Bigham, Leah Findlater
– Matching Latent Encoding for Audio-Text based Keyword Spotting
Presenters: Kumari Nishu, Minsik Cho, Devang Naik
– Spatial LibriSpeech: An Augmented Dataset for Spatial Audio Learning
Presenters: Miguel Sarabia, Elena Menyaylenko, Alessandro Toso, Skyler Seto, Zakaria Aldeneh, Shadi Pirhosseinloo, Luca Zappella, Barry-John Theobald, Nicholas Apostoloff, Jonathan Sheaffer
Acknowledgements
Interspeech 2023 would like to extend its gratitude to the reviewers, Zak Aldeneh, Panos Georgiou, Tuomo Raitio, Vineet Garg, and Dipjyoti Paul, for their valuable contributions to the conference.
In conclusion, Apple’s sponsorship of the Interspeech Conference 2023 demonstrates the company’s commitment to advancing the science and technology of spoken language processing. With a schedule full of workshops and events, attendees can expect to gain valuable insights and knowledge from top experts in the field. This conference is a must-attend for anyone interested in the latest developments in spoken language processing.
Summary: Interspeech Conference 2023: Exploring Apple’s Cutting-Edge Machine Learning Research
Apple is proudly sponsoring the Interspeech Conference, happening in Dublin, Ireland from August 20 to 24. Known as the largest and most comprehensive conference on spoken language processing, Interspeech showcases the latest advancements in the science and technology of speech. Apple has organized and sponsored various workshops and events as part of the conference. The schedule includes presentations on topics such as dysarthric speech, contextual speech recognition, and trigger-less voice assistants. Additionally, there are accepted papers covering diverse areas like latent phrase matching, audio-text keyword spotting, and spatial audio learning. The attendees also include respected reviewers like Zak Aldeneh and Panos Georgiou.
Frequently Asked Questions:
1. What is Machine Learning?
Machine Learning refers to the ability of computers to learn and improve from experience without explicit programming. It involves developing algorithms and models that enable computers to automatically analyze and interpret data, make predictions or decisions, and continuously improve their performance over time.
2. How does Machine Learning work?
Machine Learning works by creating an algorithm or model that can learn from a training dataset. The algorithm analyzes the features or patterns in the data to make predictions or decisions. It iteratively adjusts its parameters based on feedback (accuracy of predictions) to optimize its performance. This process is known as training or learning, and once the model is trained, it can be used to make predictions on new, unseen data.
3. What are some popular Machine Learning techniques?
There are various popular Machine Learning techniques, including:
– Supervised Learning: Algorithms learn from labeled training data to make predictions or classify new observations.
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– Reinforcement Learning: Algorithms learn through trial and error by interacting with an environment and receiving feedback in the form of rewards or penalties.
– Deep Learning: A subset of Machine Learning that uses artificial neural networks to analyze and interpret complex patterns in large datasets.
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Machine Learning has a wide range of applications across various industries, including:
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5. What are the challenges in Machine Learning?
Machine Learning has its own set of challenges, such as:
– Data Quality: Obtaining high-quality, relevant, and unbiased data is crucial for training accurate models.
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– Ethical and Bias Issues: Machine Learning algorithms can perpetuate biases present in the data, leading to discriminatory outcomes. Ensuring fairness and unbiased decision-making is an ongoing challenge.
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