ββπMozillaβs 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
π1
ββA new SOTA on voice separation model that distinguishes multiple speakers simultaneously
Pandemic given a sufficient rise to new technologies covering voice communication. Noise cancelling is required more than ever and now #Facebook introduced a new method for separating as many as five voices speaking simultaneously into a single microphone. It pushes state of the art on multiple benchmarks, including ones with challenging noise and reverberations.
Blogpost: https://ai.facebook.com/blog/a-new-state-of-the-art-voice-separation-model-that-distinguishes-multiple-speakers-simultaneously
Paper: https://arxiv.org/pdf/2003.01531.pdf
#SOTA #FacebookAI #voicerecognition #soundlearning #DL
Pandemic given a sufficient rise to new technologies covering voice communication. Noise cancelling is required more than ever and now #Facebook introduced a new method for separating as many as five voices speaking simultaneously into a single microphone. It pushes state of the art on multiple benchmarks, including ones with challenging noise and reverberations.
Blogpost: https://ai.facebook.com/blog/a-new-state-of-the-art-voice-separation-model-that-distinguishes-multiple-speakers-simultaneously
Paper: https://arxiv.org/pdf/2003.01531.pdf
#SOTA #FacebookAI #voicerecognition #soundlearning #DL