Details

Autor(en) / Beteiligte

• Umematsu, Terumi
• Komeiji, Shuji
• Tsujikawa, Masanori
• Isotani, Ryosuke

Titel

Sudden-noise suppression with strike-portion detection based on phase linearity for speech recognition

Ist Teil von

• 2016 Asia-Pacific Signal and Information Processing Association Annual Summit and Conference (APSIPA), 2016, p.1-4

Ort / Verlag

Asia Pacific Signal and Information Processing Association

Erscheinungsjahr

2016

Quelle

IEEE/IET Electronic Library

Beschreibungen/Notizen

• We propose a sudden-noise suppression method for speech recognition using a phase linearity feature for noise detection. Our investigation of sound data recorded in actual retail stores shows that short, sudden noises are dominant in such environments. We also confirm the negative effect of such noises on speech recognition performance. Our method addresses this problem by focusing on sudden noises shorter than 0.5 seconds. It takes advantage of a phase feature that has been shown effective for sudden-noise detection. To accurately detect the strike-portion, which is the initial high-power part of a sudden noise, we use two different thresholds. The detected part is replaced with clean data that immediately precedes it in order to remove the noise. Results of a recognition evaluation on speech data with superimposed sudden noises show that the proposed method is effective, especially for noises with clear strike-portions, and that it can reduce the errors caused by those noises by 30-70%.