首页|New Networks Study Results Reported from University of California Los Angeles (UCLA) (Distilled Non-semantic Speech Embeddings With Binary Neural Networks for Low-resource Devices)
New Networks Study Results Reported from University of California Los Angeles (UCLA) (Distilled Non-semantic Speech Embeddings With Binary Neural Networks for Low-resource Devices)
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By a News Reporter-Staff News Editor at Network Daily News - Fresh dataon Networks are presented in a new report. According to news reporting originating from Los Angeles,California, by NewsRx correspondents, research stated, “This work introduces BRILLsson, a novel binaryneural network-based representation learning model for a broad range of non-semantic speech tasks.”Financial support for this research came from National Science Foundation (NSF).Our news editors obtained a quote from the research from the University of California Los Angeles(UCLA), “We train the model with knowledge distillation from a large and real-valued TRILLsson modelwith only a fraction of the dataset used to train TRILLsson. The resulting BRILLsson models are only2MB in size with a latency less than 8 ms, making them suitable for deployment in low-resource devicessuch as wearables.”
Los AngelesCaliforniaUnited StatesNorth and Central AmericaNetworksNeural NetworksUniversity of California Los Angeles (UCLA)
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