Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Channel compensation technique has been proved to be an e!ective approach for robust speech recognition. ,  compare the performance of our proposed method RMFCC with those of the former channel compensation methods: CMS, two-level CMS and RASTA for robust telephone speech recognition. For all experiments, a Korean isolated 84-word-database consisting of 80 speakers collected from local telephone line is adopted. Using RMFCC, a 39.8% reduction in word error rate is obtained relative to conventional HMM system. It is shown from the experiments that RMFCC, comparing with RASTA, reduces the computational complexity without losing accuracy, and is also better than CMS and two-level CMS on the performance. After discussion,  verify that it is an e!ective approach to suppress very low modulation frequencies by "ltering for robust telephone speech recognition. ( 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved.
['Jiqing Han', 'Wen Gao']
I am writing a research paper on a idea Robust telephone speech recognition based on channel compensation
[{"from": "human", "value": "I am writing a research paper on a idea Robust telephone speech recognition based on channel compensation"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: Channel compensation technique has been proved to be an e!ective approach for robust speech recognition. ,  compare the performance of our proposed method RMFCC with those of the former channel compensation methods: CMS, two-level CMS and RASTA for robust telephone speech recognition. For all experiments, a Korean isolated 84-word-database consisting of 80 speakers collected from local telephone line is adopted. Using RMFCC, a 39.8% reduction in word error rate is obtained relative to conventional HMM system. It is shown from the experiments that RMFCC, comparing with RASTA, reduces the computational complexity without losing accuracy, and is also better than CMS and two-level CMS on the performance. After discussion,  verify that it is an e!ective approach to suppress very low modulation frequencies by \"ltering for robust telephone speech recognition. ( 1999 Pattern Recognition Society. Published by Elsevier Science Ltd. All rights reserved."}]