STORRE
STORRE: Stirling Online Research Repository
http://hdl.handle.net/1893/32394| Appears in Collections: | Computing Science and Mathematics Conference Papers and Proceedings |
| Author(s): | Pahar, Madhurananda Smith, Leslie S |
| Contact Email: | leslie.smith@stir.ac.uk |
| Title: | Coding and Decoding Speech using a Biologically Inspired Coding System |
| Citation: | Pahar M & Smith LS (2020) Coding and Decoding Speech using a Biologically Inspired Coding System. In: 2020 IEEE Symposium Series on Computational Intelligence (SSCI). 2020 IEEE Symposium Series on Computational Intelligence, Canberra, Australia, 01.12.2020-04.12.2020. Piscataway, NJ, USA: IEEE. https://doi.org/10.1109/ssci47803.2020.9308328 |
| Issue Date: | 2020 |
| Date Deposited: | 2-Feb-2021 |
| Conference Name: | 2020 IEEE Symposium Series on Computational Intelligence |
| Conference Dates: | 2020-12-01 - 2020-12-04 |
| Conference Location: | Canberra, Australia |
| Abstract: | A spike (event) based sound coding technique has been presented in this study where the spikes are similar to the spikes exhibited by type 1 fibers of the auditory nerve. This lossy coding technique has already been shown useful for inter-aural time difference based sound source direction finding. Here, we show that decoding and resynthesising this code can produce intelligible speech even using a small number of spike trains. We have used few composite techniques including speaker verification to assess the effectiveness of the coding technique on a large number of TIMIT sentences. This biologically inspired coding technique can provide suitable input for a spiking neural network, as well as maintaining the accurate time structure of sound. |
| Status: | VoR - Version of Record |
| Rights: | The publisher does not allow this work to be made publicly available in this Repository. Please use the Request a Copy feature at the foot of the Repository record to request a copy directly from the author. You can only request a copy if you wish to use this work for your own research or private study. |
| Licence URL(s): | http://www.rioxx.net/licenses/under-embargo-all-rights-reserved |
| File | Description | Size | Format | |
|---|---|---|---|---|
| PID6701133.pdf | Fulltext - Published Version | 791.01 kB | Adobe PDF | Under Permanent Embargo Request a copy |
Note: If any of the files in this item are currently embargoed, you can request a copy directly from the author by clicking the padlock icon above. However, this facility is dependent on the depositor still being contactable at their original email address.
This item is protected by original copyright |
Items in the Repository are protected by copyright, with all rights reserved, unless otherwise indicated.
The metadata of the records in the Repository are available under the CC0 public domain dedication: No Rights Reserved https://creativecommons.org/publicdomain/zero/1.0/
If you believe that any material held in STORRE infringes copyright, please contact library@stir.ac.uk providing details and we will remove the Work from public display in STORRE and investigate your claim.