Essays about: "audio power"
Showing result 16 - 20 of 63 essays containing the words audio power.
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16. A Hardware Accelerated Low Power DSP for Recurrent Neural Networks
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Recurrent neural networks (RNNs) have become a dominating player for processing of sequential data such as speech and audio. The reason for this, is the high accuracy that can be achieved with the more complex variants, such as the gated recurrent unit (GRU). READ MORE
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17. Gate Recurrent Unit Neural Networks for Hearing Instruments
University essay from Lunds universitet/Institutionen för elektro- och informationsteknikAbstract : Gated Recurrent Unit (GRU) neural networks have gained popularity for applications such as keyword spotting, speech recognition and other artificial intelligence applications. Typically for most applications training and inference is performed on cloud servers, and the result are transferred to the power constrained device, e.g. READ MORE
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18. Badges, Bits, and Bots : Exploring the effect of chat badges on Twitch interactions
University essay from Stockholms universitet/Institutionen för mediestudierAbstract : This study aims to observe and understand what effect influence-earned and appointed badges have during Twitch streams and their interactions. Twitch is the most popular live streaming platform online and draws in a large number of content creators, with its primary draw being video game live streams. READ MORE
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19. Speech Emotion Recognition from Raw Audio using Deep Learning
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Traditionally, in Speech Emotion Recognition, models require a large number of manually engineered features and intermediate representations such as spectrograms for training. However, to hand-engineer such features often requires both expert domain knowledge and resources. READ MORE
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20. Direct Speech to Speech Translation Using Machine Learning
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : Nowadays, most of the speech to speech translation applications and services use a three step process. First step is the speech to text translation using speech recognition. This is followed by text to text language translation and finally the text is synthesized into speech. READ MORE