Improving Japanese Language ASR by Combining Convolutions with Attention Mechanisms – NVIDIA Technical Blog News and tutorials for developers, data scientists, and IT admins 2025-07-08T18:11:44Z http://www.open-lab.net/blog/feed/ Xianchao Wu <![CDATA[Improving Japanese Language ASR by Combining Convolutions with Attention Mechanisms]]> http://www.open-lab.net/blog/?p=54745 2023-06-12T08:56:00Z 2022-09-12T14:30:00Z Automatic speech recognition (ASR) research generally focuses on high-resource languages such as English, which is supported by hundreds of thousands of hours...]]> Automatic speech recognition (ASR) research generally focuses on high-resource languages such as English, which is supported by hundreds of thousands of hours...

Automatic speech recognition (ASR) research generally focuses on high-resource languages such as English, which is supported by hundreds of thousands of hours of speech. Recent literature has renewed focus on more complex languages, such as Japanese. Like other Asian languages, Japanese has a vast base character set (upwards of 3,000 unique characters are used in common vernacular)��

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