History: Two-channel noisy recordings of a moving speaker within a limited area
Comparing version 12 with version 21
@@ -Lines: 1-3 changed to +Lines: 1-11 @@
!::Two-channel noisy recordings of a moving speaker within a limited area::
+
+ !! Motivation + This task is focused on a natural situation when the target is an uttering person whose location is limited to a specific area. For example, the target could be a speaker who is seated in a meeting (noisy) room. Its position is distant from microphones (say more than 1 meter) and is changing due to small movements of the speaker's head. The goal is to remove typical noise (e.g. babble noise) from the recorded speech. We assume that two microphones are available. + + For such situation, a priori information may be provided in the form of noise-free recordings of the target from several (fixed) positions within the assumed area. For example, such recordings could be obtained during speaker-only intervals. How effectively can we exploit the a priori knowledge to enhance recordings of the speaker when the noise is present and his/her position is not perfectly known and could be changing within the limited area? + + !! Results + The results are available [http://www.onn.nii.ac.jp/sisec13/evaluation_result/MOV/MOV2013.htm|here] !! Scenario @@ -Lines: 22-44 changed to +Lines: 30-53 @@
!! Tasks
The participants are encouraged to submit
- * Enhanced (de-noised) testing as well as development recordings
* Estimated trajectories of the loudspeaker in terms of sequences of indices of positions
+ * Enhanced (de-noised) testing as well as development noisy recordings
* Estimated trajectories of the loudspeaker in terms of sequences of indices of positions (mandatory)
- !!!How to submit
Each participant should make his results available online in the form of a tarball called <YourName>_<dataset>.zip. The included files must be named as follows:<br /> <dataset>__<author>-<song>__<snip or full_mix>__<trackname>.wav where <dataset> is one of the test/test2/dev2, <filename> is a shortcut for the set of source signals, <trackname> is the name of the extracted track. For example, the estimated vocal track for the task file "test2_glen_philips-the_spirit_of_shackleton_snip_163_185_mix.wav" should be named as "test2__glen_philips-the_spirit_of_shackleton__snip_163_185__vocals.wav".
+ !!Submissions
Each participant should make his/her results available online in the form of a tarball called <YourName>_<dataset>.zip. The files containing the enhanced utterances should be named: <dataset>_<set>_x_x_x_x_enh.wav where <dataset> is either dev or test, <set> is A, B, C, D, or E, and x_x_x_x are the estimated positions of the target during the movement.
- Each participant should then send an email to "zbynek.koldovsky (at) tul.cz" and to "onono (at) nii.ac.jp" providing:
+ Each participant should then send an email to "zbynek.koldovsky (at) tul.cz" providing:
*contact information (name, affiliation)
*basic information about his/her algorithm, including its average running time (in seconds per test excerpt and per GHz of CPU) and a bibliographical reference if possible *the URL of the tarball(s)
-
- The submitted audio files will be made available on a website under the terms of the same license as indicated in the section Licenses above. In other words, any modified version inherit exactly the same license as the original. !! Evaluation criteria The evaluation will be done through the perceptual evaluation toolkit [http://bass-db.gforge.inria.fr/peass/|PEASS v.2.0].
- [./tiki-index.php?page=Audio+source+separation|Back to Audio source separation top]
+ !!Licensing issues
/>All files are distributed under the terms of the [http://creativecommons.org/licenses/by-nc/3.0/|Creative Commons Attribution-Noncommercial-ShareAlike 3.0] license. The files to be submitted by participants will be made available on a website under the terms of the same license.
+ The recordings are authored by Emmanuel Vincent, Zbynek Koldovsky, and Jiri Malek.
+ + [./tiki-index.php?page=Audio+source+separation|Back to Audio source separation top] |