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| Author: | Moradi Ashour, Chamran |
| Title: | Spectral Envelope Modelling for Full-Band Speech Coding |
| Publication type: | Master's thesis |
| Publication year: | 2016 |
| Pages: | (9) + 61 Language: eng |
| Department/School: | Sähkötekniikan korkeakoulu |
| Main subject: | Radio Communications (S3019) |
| Supervisor: | Alku, Paavo |
| Instructor: | Bäckström, Tom ; Fuchs, Guillaume ; Fuchs, Guillaume |
| Electronic version URL: | http://urn.fi/URN:NBN:fi:aalto-201612226239 |
| Location: | P1 Ark Aalto 6487 | Archive |
| Keywords: | spectral envelope modelling linear predictive coding distribution quantization moving average multi-stage vector quantization full-band speech coding |
| Abstract (eng): | Speech coding considering historically narrow-band was in the latest years significantly improved by widening the coded audio bandwidth. However, existing speech coders still employ a limited band source-filter model extended by parametric coding of the higher band. In this thesis, a full-band source-filter model is considered and especially its spectral magnitude envelope modelling. To match full-band operating mode, we modified, tuned and compared two methods, Linear Predictive Coding (LPC) and Distribution Quantization (DQ). LPC uses autoregressive modeling, while DQ quantifies the energy ratios between parts of the spectrum. Parameters of both methods were quantized with multi-stage vector quantization. Objective and subjective evaluations indicate the two methods used in a full-band source-filter coding scheme perform on the same range and are competitive against conventional speech coders requiring an extra bandwidth extension. |
| ED: | 2017-01-08 |
INSSI record number: 55277
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