Projets-2015-2016-Sonotone
Subject: Sonotone
Supervisors:
- Jérôme Maisonasse
Students:
- HATTINGUAIS Julian (RICM4)
- LECORPS Germain (RICM4)
- VOUTAT Manuel (RICM4)
Subject summary
Week 1 (January 18th - January 24th)
Objectives
Documentation on sonotone (learning process)
Study of software already used for hearing aid (learning process)
Learning of a new programmation language : python with NUMPY and SCYPI modules
Work done
Assembling the needed documentation
A few prototypes and little program on Fourier transform and signal edition
Problems faced
Difficulties to apply a filter to an audio signal in python
Week 2 (January 25th - January 31th)
Objectives
Prototype of an equalizer filter (3 weeks job)
Learning of new concepts in Signal Processing
Work done
More prototypes about filters and signals edition
Learning of the concepts we need for peacking filter and z-transform
Problems faced
Difficulties to apply our theoritical knowledge of a numerical processing
Week 3 (February 1st - February 7th)
Objectives
Prototype of an equalizer filter (3 weeks job)
Apply a gain on a specific frequency (by peaking filter)
Work done
prototype of a peaking filter which works and which is performant
Problems faced
Difficulties to apply the gain the correct frequency
Week 4 (February 8th - February 14th)
Objectives
Prototype of an equalizer filter (3 weeks job)
Graphic equalizer
Work done
Graphic equalizer done!
Problems faced
None
Week 5 (February 15th - February 21st)
Objectives
Prototype of a parametric equalizer
Work done
We replaced peaking filters with shelf filters to improve the quality of the signal processing
Problems faced
Applying mutliple filters on one signal leads to several bugs and is less effective than shelf filters
Week 6 (February 29th - March 6th)
Objectives
Filtering in real time / Debug of parametric equalizer
Work done
Capture of the sound from a microphone and digitizing that sound via a C module.
Problems faced
Convert data from the C module to python data we can use in the equalizer.
Week 7 (March 7th - March 13th)
Objectives
Filtering in real time
Work done
Convertion of the C data to python data so we can apply filters to the signal with our equalizer.
Problems faced
No problem faced at this stage.
Week 8 (March 14th - March 20th)
Objectives
Filtering in real time
Work done
Learning and use of pyaudio module
Problems faced
Signal interference dut to the microphone and maybe the python module
Week 9 (March 21st - March 27th)
Objectives
Filtering in real time/GUI (Design, IHM…)
Work done
Problems faced
Week 10 (March 28th - April 3rd)
Objectives
GUI (Design, IHM…)
Work done
Apply the GUI to the new real-time software
Problems faced
Difficulties to make a GUI in a simple way