Google、1人の声を聞き分ける「カクテルパーティー効果」ディープラーニングモデル
米Googleは4月11日（現地時間）、会話や騒音が多い中などの動画から、1人の人の声を分離するディープラーニングモデルについての論文「Looking to Listen at the Cocktail Party」を発表した。 人間は、パーティー会場のような複数の会話が進行している中でも、自分が聴きたい声を自然に聞き取る選択的聴取能力があり、一般に「カクテルパーティー効果」と呼ばれる。これを、ディープラーニングで再現しようというものだ。 サンプルの動画では、2人の男性がステージで同時に同じくらいの声量で話しているものを、一人ずつの声に切り分けて字幕をつけることに成功している。下の画像で、最初は2人同時の音声、右の男性の顔に枠が付いた段階では右の男性の声だけ、左の男性の顔に枠が付いた段階では左の男性の声だけが聞こえる。 この動画の音源はステレオではなく、ディープラーニングモデルが音声を切り
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Posted by Inbar Mosseri and Oran Lang, Software Engineers, Google Research People are remarkably good at focusing their attention on a particular person in a noisy environment, mentally “muting” all other voices and sounds. Known as the cocktail party effect, this capability comes natural to us humans. However, automatic speech separation — separating an audio signal into its individual speech sou
Deep Bilateral Learning
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DeepMind and Blizzard to release StarCraft II as an AI research environment | DeepMind
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Google-backed startup DeepMind Technologies has built an artificial intelligence agent that can learn to successfully play 49 classic Atari games by itself, with minimal input. Cofounder and WIRED2014 speaker Demis Hassabis called the move, detailed in a paper published in Nature, "the first significant rung on the ladder to proving general learning systems can work". "It's the first time that any
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Posted by Christian Szegedy, Software Engineer The ImageNet large-scale visual recognition challenge (ILSVRC) is the largest academic challenge in computer vision, held annually to test state-of-the-art technology in image understanding, both in the sense of recognizing objects in images and locating where they are. Participants in the competition include leading academic institutions and industry
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