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LifeVibes
113 followers -
Transforming multimedia software into a real life experience!!
Transforming multimedia software into a real life experience!!

113 followers
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The latest LifeVibes VoiceExperience 7.0 software solution provides state-of-the-art voice calling enhancements for smartphones, feature phones as well as tablets and wearables. LifeVibes VoiceExperience enables consumers to make natural calls under normal and noisy conditions, both in handheld and speakerphone mode. The solution includes multi-microphone noise suppression, acoustic echo cancellation and active voice contrast and it delivers voice quality that exceeds strict mobile operator requirements. The new OnePlus X provides highest quality voice calling powered by LifeVibes VoiceExperience 7.0. Read full press release here: http://bit.ly/1P9NxDQ

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The new OnePlus X handset features NXP Software's next generation audio enhancement solution: LifeVibes VoiceExperience. This solution enables OnePlus X owners to make highest quality voice calls under normal and noisy conditions, both in handheld and speakerphone mode.

LifeVibes VoiceExperience includes multi-microphone noise suppression, acoustic echo cancellation and active voice contrast, allowing OnePlus X to deliver voice quality that exceeds mobile operator requirements.

LifeVibes VoiceExperience today runs on over 1 billion mobile devices and is used by major mobile device manufacturers on flagship devices to enhance circuit-switched, VoLTE and VoIP calls, including Skype, WeChat and QQ networks. It is integrated into Android, Tizen and Windows Phone devices. 

For more information, please visit our website: http://bit.ly/1P9NxDQ
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The Interspeech’s 2015 conference proved a week full of very interesting keynotes, good meetings and a lot of feedback from both academic and industrial visitors on our demo's of ActiveVoiceContrast, AudioCapture and  WindNoiseSuppression. Read the review of our week at Interspeech 2015 on our VoiceGurus blog - http://goo.gl/xAJxne #ProudSponsor
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2015-09-14
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INTERSPEECH 2015 is due in two weeks time and Dresden will become the hotspot for speech science and technology. NXP Software is Silver Sponsor of this year's event and next to the plenary talks by internationally renowned experts, tutorials and special events, we suggest to visit our booth 16 at the fifth level to experience demo's of some of our exiting LifeVibes solutions: ActiveVoiceContract, AudioCapture and WindNoiseSuppression - http://goo.gl/IXAOml
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In the third part of our 3-part blog post on big data for audio context recognition we look at use-cases for the audio signature database and how the next generation mobile apps can benefit from it. You can read all posts on our voicegurus blog: http://goo.gl/qBSKN7
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Today at Samsung Unpacked Event, Samsung launched Galaxy Note 5 featuring, amongst others, a superior camcording experience. Its wind noise suppression technology significantly reduces the effects of wind on the microphones, managing to keep the original sound intact - goo.gl/JrSTw2
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The excellent Android device fragmentation infographic from OpenSignal gave our Marketing Director Speech & Sensing the inspiration to visualize the Android devices that run NXP Software's LifeVibes™ software solution. #LinkedIn - goo.gl/RTzpX7
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2015-08-13
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New OnePlus 2 smartphone integrates NXP Software's LifeVibes VoiceExperience 6.0 for quality voice calling #mobile http://bit.ly/1h33PRV

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Audio context recognition is an exciting new field which will allow for new really "smart" applications. It requires exceptional expertise and an enormous amount of data. EURECOM and NXP Software are combining EURECOM's expertise in statistical pattern recognition and NXP Software's excellent audio algorithms, and their big database of audio data, to make significant steps forward in this exciting new technology. Read full article on our VoiceGurus blog: http://goo.gl/SSwrOI
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NXP Software's acknowledges the added value of context data for the end users of mobile and IOT devices. Our R&D audio specialists have been working in a close partnership with universities to collect audio data and improve automatic sound recognition by training algorithms with robust "big" data. We have been making a lot of progress. In the upcoming three part VoiceGurus blog post we share our insights on processing big audio context data. Today we posted part one: "Big data for sound recognition part 1: deep learning" - Read it here: http://goo.gl/dCY4zuless
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2015-07-06
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