텍스트 거리 측정 방법 조사

[joojis]

[joojis]

Speech to text 구현의 정확도를 평가할 때 쓰는 방법이 있을텐데 찾아서 나오면 참고해볼 수 있을 듯

[gnidoc327]

공식 레퍼런스
https://www.ibm.com/watson/developercloud/speech-to-text/api/v1/
논문참고 링크(위키백과) - 한국어엔 내용 거의 없음
https://en.wikipedia.org/wiki/Speech_recognition#cite_note-HintonDengYu2012-36
논문 링크(앞번호는 위키 참조 번호)
36 : Deep Neural Networks for Acoustic Modeling in Speech Recognition: The shared views of four research groups
http://ieeexplore.ieee.org/document/6296526/?reload=true
37 : International Conference on Acoustics, Speech and Signal Processing: New types of deep neural network learning for speech recognition and related applications
http://ieeexplore.ieee.org/document/6639344/
46 : Recent Developments in Deep Neural Networks
47 : Achievements and Challenges of Deep Learning: From Speech Analysis and Recognition To Language and Multimodal Processing

[gnidoc327]

뉴런 네트워크에 대한 이해도가 약간 필요한거 같은데 심심할때 좀 읽어봐야할거 같음
뉴알못이라 죄송합니다

[gnidoc327]

참고 논문 : https://static.googleusercontent.com/media/research.google.com/ko//pubs/archive/38131.pdf

[joojis]

• https://en.wikipedia.org/wiki/Levenshtein_distance
• https://en.wikipedia.org/wiki/Damerau%E2%80%93Levenshtein_distance