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Sources: Apple is acquiring music recognition app Shazam | TechCrunch
As Spotify continues to inch towards a public listing, Apple is making a move of its own to step up its game in music services. Sources tell us that the company is close to acquiring Shazam, the popular app that lets people identify any song, TV show, film or advert in seconds, by listening to an audio clip or (in the case of, say, an ad) a visual fragment, and then takes you to content relevant to that search.

We have heard that the deal is being signed this week, and will be announced on Monday, although that could always change.
shazam  deals  music  recognition 
yesterday by dancall
Capgras Syndrome in the Digital Age
We start with the case of a woman who experienced unbearable tragedy. In 1899, this Parisian bride, Madame M., had her first child.…
capgras_syndrome  neural_correlates  recognition  subjectivity  affect  neuropsychiatry 
2 days ago by jbkcc
Parsons code - Wikipedia
"The Parsons code, formally named the Parsons code for melodic contours, is a simple notation used to identify a piece of music through melodic motion — movements of the pitch up and down. Denys Parsons developed this system for his 1975 book The Directory of Tunes and Musical Themes. Representing a melody in this manner makes it easier to index or search for pieces, particularly when the notes values are unknown. (...)

The first note of a melody is denoted with an asterisk (*), although some Parsons code users omit the first note. All succeeding notes are denoted with one of three letters to indicate the relationship of its pitch to the previous note:

- * = first tone as reference,
- u = "up", for when the note is higher than the previous note,
- d = "down", for when the note is lower than the previous note,
- r = "repeat", for when the note has the same pitch as the previous note.
(...)"
music  patterns  recognition  software  analysis 
5 days ago by eric.brechemier
Common Voice
We are building an open and publicly available dataset of voices that everyone can use to train speech-enabled applications.
We believe that large and publicly available voice datasets foster innovation and healthy commercial competition in machine-learning based speech technology. This is a global effort and we invite everyone to participate. Our aim is to help speech technology be more inclusive, reflecting the diversity of voices from around the world.
opendata  mozilla  voice  recognition 
8 days ago by kaxing
Vision
This project lets you build an image recognition device that can see and identify objects, powered by TensorFlow’s machine learning models. All you need is a Raspberry Pi Zero W, a Raspberry Pi Camera 2, and a blank SD card. A free Android app is coming soon to help you easily control your device.
hardware  google  image  recognition  ai  raspberry-pi  android 
9 days ago by vicchow

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