Name
Title | ||
|---|---|---|
Self-Produced Speech Enhancement and Suppression Method using Air- and Body-Conductive Microphones. |
Abstract | ||
|---|---|---|
This paper presents a self-produced speech enhancement and suppression method for multichannel auditory signals recorded with both air-and body-conductive microphones. In processing auditory sound signals recorded with wearable microphones for memorizing conversation and acoustic scenes and events that each user experienced in daily life, source separation is a promising technique as only a mixing of various sound sources can be observed. To separate the recorded signals into self-produced speech, i.e.,user's own speech and ambient environmental sounds, we propose a self-produced speech enhancement and suppression method using not only air-conductive microphones to record multichannel air-conducted signals but also body-conductive microphones to record body-conducted signals. A separation filter applied to the multichannel air-conducted signals is estimated in an unsupervised manner while effectively using the body-conducted signals dominantly including self-produced speech components. We conduct an experimental evaluation to investigate the effectiveness of the proposed method, thereby demonstrating that the proposed method outperforms the conventional method using only the air-conductive microphones. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.23919/APSIPA.2018.8659663 | Asia-Pacific Signal and Information Processing Association Annual Summit and Conference |
Field | DocType | ISSN |
Speech enhancement,Environmental sounds,Noise measurement,Wearable computer,Computer science,Electrical conductor,Time–frequency analysis,Acoustics,Source separation | Conference | 2309-9402 |
Citations | PageRank | References |
0 | 0.34 | 0 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Moe Takada | 1 | 0 | 0.68 |
| Shogo Seki | 2 | 3 | 3.43 |
| Tomoki Toda | 3 | 1874 | 167.18 |