在2009-2011年期间。全球语音识别技术普遍转向“深度神经网络”（DNN）平台，DNN架构的层面数量及规模大幅度提升。研究成果频出。出现了“井喷式”发展态势。详细表如今下面8个方面：
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Scaling up/out and speedup DNN training and decoding;
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Sequence discriminative training of DNNs;
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Feature processing by deep models with solid understanding of the underlying mechanisms;
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Adaptation of DNNs and of related deep models;
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Multi-task and transfer learning by DNNs and related deep models;
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Convolution neural networks and how to design them to best exploit domain knowledge of speech;
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Recurrent neural network and its rich LSTM variants;
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Other types of deep models including tensor-based models and integrated deep generative/discriminative models.
尤其是近年来，语音识别（SR）技术在社会大众医疗保健、第二外语高效培训、军事航空指挥训练等诸多方面获得成功应用，效果明显。深度神经网络（DNN）技术的详细应用方式是不难想象的。无需多说。
百度李彦宏“中国大脑”提案就是在这样的“井喷式发展”的大背景下提出的。
袁萌 7月15日