Hi Frederico,
Thanks very much for the code!
I did the same thing using ISO psychoacoustic model 2. Was thinking about using models to account for temporal effect. Have you tried more advanced auditory models?
Best wishes,Mengli
--Mengli FengPhD StudentPGR Collective EPMS School ConvenorAudio, Biosignals and Machine Learning GroupDepartment of Electronic EngineeringRoyal Holloway, University of LondonResearch Interest:Speech/ voice production and perceptionOngoing Project:the perceptual effect of Bone-conducted sound of own voice>>> Pure Page
From: Frederico Pereira <pereira.frederico@xxxxxxxxx>
Sent: Wednesday, January 29, 2020 12:15 pm
To: Feng, Mengli (2018)
Cc: AUDITORY@xxxxxxxxxxxxxxx
Subject: Re: [AUDITORY] converting masking thresholds to masker levels of speech soundsHi Mengli,
I´m currently working on something similar and I´ve been developing on top of the code and psychoacoustic models based on:ISO/IEC 11172-3:1993, Information technology – Coding of moving pictures and associated audio for digital storage media at up to about 1,5 Mbit/s – Part 3: Audio
Hoping this is of some help to you.
regards,
Frederico
On Tue, Jan 28, 2020 at 5:19 AM Feng, Mengli (2018) <Mengli.Feng.2018@xxxxxxxxxxxxxxx> wrote:
Dear All,I am trying to convert masking curves into the frequency responses of the original maskers (single speech sounds). The maskees I am using are narrow band noises at different frequencies.It has taken me enormous effort to find an auditory model to make accurate predictions, considering the maskers are complex tones with multiple harmonics in high frequency region. Might anyone provide some guidance or advice on finding a suitable model?Is it even possible to do such prediction knowing only the frequency responses of the maskees and the masking thresholds given that temporal effects would inevitably appear because of the higher harmonics in human speech sounds? Any opinions?Any suggestion would be greatly appreciated!Best Regards,Mengli
--Mengli FengPhD StudentPGR Collective EPMS School ConvenorAudio, Biosignals and Machine Learning GroupDepartment of Electronic EngineeringRoyal Holloway, University of LondonResearch Interest:Speech/ voice production and perceptionOngoing Project:the perceptual effect of Bone-conducted sound of own voice>>> Pure Page
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