Optimizing Siri on HomePod in Far‑Field Settings
New post by #Apple ML team
https://machinelearning.apple.com/2018/12/03/optimizing-siri-on-homepod-in-far-field-settings.html
#Siri #DL #homeassistant
New post by #Apple ML team
https://machinelearning.apple.com/2018/12/03/optimizing-siri-on-homepod-in-far-field-settings.html
#Siri #DL #homeassistant
Apple Machine Learning Research
Optimizing Siri on HomePod in Far‑Field Settings
The typical audio environment for HomePod has many challenges — echo, reverberation, and noise. Unlike Siri on iPhone, which operates close…
​​🎙Mozilla’s Common Voice project
Mozilla launched a project to make digitalization of human voice more open and accessable. Anyone is eligible to download the dataset to use it for building #voicerecognition or #voicegeneration ML systems.
Most importantly, anyone can take a part in the project and make sure that her/his voice with all the accents and personal manner of speech features such as altitude, speed, clarity and timbre are accounted for in the models are to built.
Why is that important: if you have speech defects and you are not happy how machine speech translation works for you, or how well #Alexa or #Siri gets you, you should spend some time recording your voice for the Common Voice, to increase the probability of upcoming voice recognition model working great for you.
Project: https://voice.mozilla.org
Venturebeat article: https://venturebeat.com/2020/07/01/mozilla-common-voice-updates-will-help-train-the-hey-firefox-wakeword-for-voice-based-web-browsing/
#open #SpeechToText #TextToSpeech #DL #mozilla #audiolearning #voicerecognition
Mozilla launched a project to make digitalization of human voice more open and accessable. Anyone is eligible to download the dataset to use it for building #voicerecognition or #voicegeneration ML systems.
Most importantly, anyone can take a part in the project and make sure that her/his voice with all the accents and personal manner of speech features such as altitude, speed, clarity and timbre are accounted for in the models are to built.
Why is that important: if you have speech defects and you are not happy how machine speech translation works for you, or how well #Alexa or #Siri gets you, you should spend some time recording your voice for the Common Voice, to increase the probability of upcoming voice recognition model working great for you.
Project: https://voice.mozilla.org
Venturebeat article: https://venturebeat.com/2020/07/01/mozilla-common-voice-updates-will-help-train-the-hey-firefox-wakeword-for-voice-based-web-browsing/
#open #SpeechToText #TextToSpeech #DL #mozilla #audiolearning #voicerecognition