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中央研究院 資訊科學研究所

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學術演講

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New-Generation Challenges for Automatic Speech Recognition

  • 講者郭志忠 博士 (工業技術研究院資訊與通訊研究所)
    邀請人:蘇克毅
  • 時間2019-09-10 (Tue.) 10:00 ~ 12:00
  • 地點資訊所新館106演講廳
摘要

We may say that this wave of “AI Renaissance” started around 2010 when the so-called deep learning technology was applied to automatic speech recognition (ASR) and for the first time achieved an apparent success in a serious application of sufficient scale. The performance lift for ASR obviously continued in the following years and naturally leads to a question: “Is the ASR a solved problem?” The answer may be “yes” for phonetic classification or for read speech recognition. However, read speech is only a special case in our daily life and it’s far from understanding an utterance if you can only distinguish phonetic classes. There used to be three major challenges in ASR proposed in 1980s. By contrast, a new “three major challenges” will be proposed in this talk. Above all, issues of spontaneous speech have been collected and organized to show the numerous obstacles in the way to the ultimate solution of the ASR problem. Various examples of real cases conducted in ITRI will be shared and demonstrated during the talk.

BIO

2011 - 2019 工研院資通所技術組長
2004 - 2011 工研院電通所前瞻技術中心副主任
1998/12 工研院電通所前瞻技術中心正研究員
1994/01 國立清華大學電機工程研究所博士