Apple today published three new articles to the Machine Learning Journal, covering topics that are based on papers Apple will share this week at Interspeech 2017 in Stockholm, Sweden.
The first article may be the most interesting to casual readers, as it explores the deep learning technology behind the Siri voice improvements introduced in iOS 11. The other two articles cover the technology behind the way dates, times, and other numbers are displayed, and the work that goes into introducing Siri in additional languages.
Links to all three articles are below:
- Deep Learning for Siri's Voice: On-device Deep Mixture Density Networks for Hybrid Unit Selection Synthesis
- Inverse Text Normalization as a Labeling Problem
- Improving Neural Network Acoustic Models by Cross-bandwidth and Cross-lingual Initialization