Selection and Rejection of Recognition Results Obtained with Multiple Recognizers of Various Recognition Units Using Support Vector Machine
スポンサーリンク
概要
- 論文の詳細を見る
We propose a novel speech recognition method using multiple recognizers of various recognition units. Our method can improve the word recognition accuracy and reject incorrect recognition results when the correct recognition results are obtained. We use a Support Vector Machine (SVM) to select a single recognition result or reject recognition results from multiple recognition results. Experimental results show that the proposed method achieves higher word recognition accuracy and classification accuracy in comparison with a single recognizer and ROVER.
- 信号処理学会の論文
信号処理学会 | 論文
- A study on audio watermarking method based on the cochlear delay characteristics
- Estimation of fundamental frequency of reverberant speech by utilizing complex cepstrum analysis
- 反響音を有する畳み込み形混合過程に対するブラインドソースセパレーションの学習法
- A Model-Concept of the Selective Sound Segregation : A Prototype Model for Selective Segregation of Target Instrument Sound from the Mixed Sound of Various Instruments
- Study of Control Strategy Mimicking Speech Motor Learning for a Physiological Articulatory Model