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[CodeStyle][Typos][A-9] Fix typo(accoustic) (#7602)
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_typos.toml

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@@ -39,7 +39,6 @@ Similarily = "Similarily"
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Simle = "Simle"
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Sovler = "Sovler"
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Successed = "Successed"
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accoustic = "accoustic"
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classfy = "classfy"
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contxt = "contxt"
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convertion = "convertion"

docs/design/network/deep_speech_2.md

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@@ -102,7 +102,7 @@ Issue for each task will be created later. Contributions, discussions and commen
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### Overview
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Traditional **ASR** (Automatic Speech Recognition) pipelines require great human efforts devoted to elaborately tuning multiple hand-engineered components (e.g. audio feature design, accoustic model, pronuncation model and language model etc.). **Deep Speech 2** (**DS2**) \[[1](#references)\], however, trains such ASR models in an end-to-end manner, replacing most intermediate modules with only a single deep network architecture. With scaling up both the data and model sizes, DS2 achieves a very significant performance boost.
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Traditional **ASR** (Automatic Speech Recognition) pipelines require great human efforts devoted to elaborately tuning multiple hand-engineered components (e.g. audio feature design, acoustic model, pronuncation model and language model etc.). **Deep Speech 2** (**DS2**) \[[1](#references)\], however, trains such ASR models in an end-to-end manner, replacing most intermediate modules with only a single deep network architecture. With scaling up both the data and model sizes, DS2 achieves a very significant performance boost.
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Please read Deep Speech 2 \[[1](#references),[2](#references)\] paper for more background knowledge.
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