Difference between revisions of "Projects:2019s2-24101 Improving Usability and User Interaction with KALDI Open- Source Speech Recogniser"
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Riya Parth Dube | Riya Parth Dube | ||
Pengyue Song | Pengyue Song | ||
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'''Supervisors''' | '''Supervisors''' | ||
Dr. Said- Al- Sarawi | Dr. Said- Al- Sarawi | ||
Revision as of 04:06, 7 October 2019
Introduction This project is about improving the word error rate in audio transcription by KALDI. KALDI is used to transcript audio using various language and acoustic models. The previous work in improving the word error rate is done by improving the language and acoustic models of audio. our project focus on improving the input signal quality by audio processing using the software HARK. HARK works on Missing feature theory and eliminates noise by various algorithms.
Project team Project students Riya Parth Dube Pengyue Song
Supervisors Dr. Said- Al- Sarawi
DSTG Dr Ahmad Hashemi-Sakhtsari
Method
Results
Conclusion
References 1 The HARK Documentation available online at https://www.hark.jp/document/3.0.0/hark-document-en/sect0002.html 2 The KALDI Decoder online available at https://kaldi-asr.org/ 3 D. Povey, “KALDI – Home”, KALDI, n.d. [Online] Available at: http://kaldi-asr.org/ [Accessed: September 2019].
