ilsraka.blogg.se - Formant plot wavesurfer

#Formant plot wavesurfer how to#
#Formant plot wavesurfer software#

How well this works depends on the target and can be computed by the inter-rater-variability, i.e.As you decide on a subjective value that depends on your self (temporarily as well as in general) this needs to be done in a real world scenario by as many people as possible (a number between 5 and 20 is quite common).The process of assigning a value to a recording is called annotating, labeling or judging.Related to that: with respect to Likert scales the most important question is wether there's a neutral value or not.Basically, for this seminar you got to decide if it's binary (0/1, on/off, true/false) or graded, like a discreet value on a Likert scale or simply a continuous value in the range or (also a surprisingly difficult question).

#Formant plot wavesurfer how to#

There's a whole standard recommendation on the topic of how to describe emotional states.Typical candidates would be interest, nervousness or valence. If you want to compare across participants it's important you have the same concept of what is your target.

Typically, with emotions, you distinguish between categories (like anger, friendlyness, sadness) and dimensions like pleasure, arousal or dominance (also known as PAD space).

#Formant plot wavesurfer software#

this software based on Praat or the ina spech segmenterĪnnotate the recording Decide on a target by a VAD (voice activity detection) algorithm.

An alternative approach is to segment the speech automatically, e.g.

The segmentation can be done manually, via a segmentation tool like Praat, Wavesurfer or even Audacity.

In a dialog situation a segment would come naturally as it would correspond to the speech segments alternating between the dialog partners (and then would be called a "turn").

Perform a segmentation on your recording into parts that have about the right size to carry an emotional expression.

You might consider storing your data in audformat to be comaptibel with further investigations.

Convert all into a dedicated audio format, usually 16 kHz sample rate, mono channel, >= 16bit quantization should suffice.

Obviously you might use some other emotional recordings that you collect.

try to express your feelings while you speak.

Record a speech of yourself of 3-5 minutes length on a topic that you find emotinally challenging, meaning something you feel strongly about.

Load your data with a data processing environment.