Is there any papers about speech recognition system, the stimuli is English stops?
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There are several papers about speech recognition systems for English stops. Wu Ting presents an English speech recognition system based on the improved HMM model, which improves the recognition rate and adaptability of the system . Marco Kühne and Roberto Togneri compare wavelet and STFT analysis for a speaker-independent stop classification task, achieving a 14% relative error reduction with wavelet features . Ahmed Mohamed Abdelatty Ali, J. Van der Spiegel, and Paul Mueller propose a knowledge-based system for the automatic classification of stops in speaker-independent continuous speech, achieving high accuracy for voicing detection, place of articulation detection, and overall classification of stops . Roopa Ashok Thorat and Ruchira. A. Jadhav present a vowel recognition system based on the LPC model, achieving 88% recognition accuracy . Lv Cuiling discusses an English speech recognition system using Hidden Markov models and demonstrates its effectiveness in enhancing accuracy .
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| Papers (5) | Insight |
|---|---|
| The provided paper does not mention anything about stimuli related to English stops. | |
| The provided paper is about the acoustic-phonetic characteristics and classification of American English stop consonants. It does not mention any other papers specifically about speech recognition systems with English stops as stimuli. | |
Open access•Proceedings Article 01 Jan 2006 | Yes, the provided paper is about a speech recognition system for English stops using wavelet analysis and Hidden Markov Models. |
28 Apr 2019 5 Citations | The provided paper is about an English speech recognition system based on an improved HMM model. It does not specifically mention stimuli being English stops. |
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