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Apple HomePod Compared to Sonos One | The Mac Security Blog
Many people buy smart speakers because of their smarts: Apple's HomePod provides access to Siri, Amazon's Echo and some devices from other manufacturers let you talk to Alexa and Google Home lets you query Ok Google. If you want a speaker to listen to music but are wedded to one of these "smart" ecosystems, then your choices are limited.
But if what matters to you is sound quality and you want a standalone speaker that you can stream music to, then you have a lot of options. I reviewed Apple's HomePod here, and, while the sound is good, it's not as good as it could be. I now have two HomePods which I use in my bedroom as a stereo pair, and I wanted a speaker for the kitchen to listen to music while I cook. But I didn't want a Bluetooth speaker because their sound quality is limited; since I use Apple Music and iTunes, having AirPlay access was essential for me. Rather than spend the $350 for another HomePod, I decided to buy a Sonos One. At $200 (and I got it at the $25 discount Black Friday price), it's more accessible; you can get two to make a stereo pair for just a bit more than a single HomePod.
The Sonos One is one of three devices from this company that supports AirPlay 2 (the others are the Beam, Playbase, and Play:5 2nd generation). It is about the same size as the HomePod but the main difference is its smarts: it offers access to Amazon Alexa rather than Siri. So if that's a dealbreaker, then stop reading.
music  speaker  homepod  sonos  comparo 
13 days ago by rgl7194
Optimizing Siri on HomePod in Far‑Field Settings - Apple
The typical audio environment for HomePod has many challenges — echo, reverberation, and noise. Unlike Siri on iPhone, which operates close to the user’s mouth, Siri on HomePod must work well in a far-field setting. Users want to invoke Siri from many locations, like the couch or the kitchen, without regard to where HomePod sits. A complete online system, which addresses all of the environmental issues that HomePod can experience, requires a tight integration of various multichannel signal processing technologies. Accordingly, the Audio Software Engineering and Siri Speech teams built a system that integrates both supervised deep learning models and unsupervised online learning algorithms and that leverages multiple microphone signals. The system selects the optimal audio stream for the speech recognizer by using top-down knowledge from the “Hey Siri” trigger phrase detectors. In this article, we discuss the machine learning techniques we use for online signal processing, as well as the challenges we faced and our solutions for achieving environmental and algorithmic robustness while ensuring energy efficiency.
apple  AI/ML  research  report  homepod  siri  audio 
15 days ago by rgl7194
Apple research paper outlines how Apple has optimized Siri to work on HomePod | iLounge News
Apple has published a new entry in its Machine Learning Journal providing in-depth technical information on how Apple designed Siri on the HomePod to deal with hearing and understanding a user’s voice in the larger spaces in which HomePod is intended to operate. Titled Optimizing Siri on HomePod in Far‑Field Settings, the paper explains how Siri on HomePod had to be designed to work in “challenging usage scenarios” such as dealing with users standing much farther away from the HomePod than they typically would be from their iPhone, as well as dealing with loud music playback from the HomePod itself, and making out the user speaking despite other sound sources in a room like a TV or household appliances. In the article, Apple goes on to outline how the HomePod’s six microphones and multichannel signal processing system built into its A8 chip work together to adapt to a variety of changing conditions while still making sure that Siri can hear the person speaking and respond appropriately. Machine learning algorithms are employed as part of the signal processing to create advanced algorithms for common features like echo cancellation and noise reduction, improving Siri’s reliability across a wide variety of frequently changing environments.
apple  AI/ML  research  report  homepod  siri  audio 
15 days ago by rgl7194
Apple published a surprising amount of detail about how the HomePod works | Ars Technica
Machine learning is a big focus at Apple right now—a blog post explains why.
Today, Apple published a long and informative blog post by its audio software engineering and speech teams about how they use machine learning to make Siri responsive on the HomePod, and it reveals a lot about why Apple has made machine learning such a focus of late.
The post discusses working in a far-field setting where users are calling on Siri from any number of locations around the room relative to the HomePod's location. The premise is essentially that making Siri work on the HomePod is harder than on the iPhone for that reason. The device must compete with loud music playback from itself.
Apple addresses these issues with multiple microphones along with machine learning methods—specifically:
Mask-based multichannel filtering using deep learning to remove echo and background noise
Unsupervised learning to separate simultaneous sound sources and trigger-phrase based stream selection to eliminate interfering speech
apple  AI/ML  research  report  homepod  siri  audio 
15 days ago by rgl7194
Optimizing Siri on HomePod in Far‑Field Settings - Apple
Interesting article on how “Hey Siri” works so well on the HomePod.
apple  ai  homepod 
15 days ago by ffg
gPodder: Media aggregator and podcast client
🤔 brauche für Passwort geschützte Podcasts einen Sammler der auf der Synology läuft und die Podcasts lädt und nur in heimischen Netz zur Verfügung stellt
podcasts  HomePod 
september 2018 by akawee
Twitter
I need help please . In Australia I used to say “play abc classic radio” to play our national radio…
apple  homepod  from twitter
september 2018 by wspr

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