l machine learning l speech separation l recommender system 2
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Machine Learning Speech separation Recommender system
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“ 机器学习是一门人工智能的科学，该领域的主要研究对象是人工智能，特别是如何在经验学习中改善具体算法的性能”。
“ 机器学习是对能通过经验自动改进的计算机算法的研究”。
A computer program is said to learn from experience E with respect to some class of tasks T and performance measure P, if its performance at tasks in T, as measured by P, improves with experience E.
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Machine perception/Speech recognition/Computer vision/Natural language processing/Sentiment Analysis
Search engines Medical diagnosis Bioinfomatics/Cheminformatics Anomaly detection/Detecting credit card fraud Time series modeling/Stock market
analysis/Computational finance Game playing Information retrieval/Recommender systems Social Networks/Big data
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Machine Learning Speech separation Recommender system
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In a daily environment, target speech is often corrupted by various types of acoustic interference
How to remove or attenuate background noise?
Much more difficult than binaural (multichannel) speech separation.
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Noisy speech Time-frequency representation
A main goal: Ideal binary mask (IBM) The definition of the ideal binary mask
It is a classification task: Given noisy speech Binary matrix
Method: Supervised learning
otherwise0
f),localSNR(t1),(
ftm
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• Female Speech + Factory Noise (0dB, 64-channel)
• Noisy speech
• IBM
• Proposed
Wang et al. (2008)
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96 dB
72 dB
48 dB
24 dB
0 dB
Machine Learning Speech separation Recommender system
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问题 : 预测一个人给一部电影的评分 用户： 480,189 电影： 17,770
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仅有 100 million ratings 实际 8.5 billion potential ratings 99% 未评分！
三年期限，第一个超过 Netflix 算法 10% 的获奖 2009 年 9 月， AT&T 小组 “ BellKor’s
Pragmatic Chaos” 获得大奖 $1,000,000
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• 如何预测？• 相似用户评分相似• 相似电影评分相似• Latent factor 隐
变量
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Amazon: Facebook: LinkedIn: Last.fm: 豆瓣，虾米，人人， QQ…………………….