Speech enhancement for non-stationary noise around a machine cabin
| dc.contributor.author | Zhou, Yiliang | |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för arkitektur och samhällsbyggnadsteknik (ACE) | sv |
| dc.contributor.department | Chalmers tekniska högskola / Institutionen för arkitektur och samhällsbyggnadsteknik (ACE) | en |
| dc.contributor.examiner | Ahrens, Jens | |
| dc.contributor.supervisor | Frenne, Nicklas | |
| dc.date.accessioned | 2024-04-15T08:05:24Z | |
| dc.date.available | 2024-04-15T08:05:24Z | |
| dc.date.issued | ||
| dc.date.submitted | ||
| dc.description.abstract | This thesis is mainly concerned with the solution for speech enhancement in the presence of non-stationary noise around the machine cabin. This allows outside speech to enter the cabin and reduces unwanted noise. The application scenario of this work is a signal processing system using a microphone array outside the cabin to capture signals and using different algorithms to enhance the speech signals. With the help of this system, the machine operator is able to get speech information in a noisy environment. The noise sources in this situation are more complex and non-stationary. Examples of noise sources include engine noise, traffic noise, or other construction activities. Previous work done by Tomoya chose the microphone array configuration and developed the beamforming method. From the results of the valuable work, it is found that beamforming is able to increase the signal-to-noiseratio (SNR) in the current situation, but the sound quality and SNR are still limited due to the low input SNR and non-stationary noise environment. Therefore, modified beamforming and new methods are implemented in this work. noise cancellation(NC) predicts the transfer path for the noise signal and removes it by controlling the minimum error of the output. Noise suppression(NS) uses the scheme of spectral subtraction to subtract the noise spectrum from noisy speech spectrum. A combination of beamforming and noise cancellation and a combination of beamforming and noise suppression method are developed and evaluated. The result shows a better performance for this low input SNR and non-stationary noise case. | |
| dc.identifier.coursecode | ACEX30 | |
| dc.identifier.uri | http://hdl.handle.net/20.500.12380/307657 | |
| dc.language.iso | eng | |
| dc.setspec.uppsok | Technology | |
| dc.subject | Speech enhancement, Non-stationary noise environment, Beamforming, Noise cancellation, Noise estimation | |
| dc.title | Speech enhancement for non-stationary noise around a machine cabin | |
| dc.type.degree | Examensarbete för masterexamen | sv |
| dc.type.degree | Master's Thesis | en |
| dc.type.uppsok | H | |
| local.programme | Sound and vibration (MPSOV), MSc |