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Nevertheless, GAN-primarily based strategies can complement time stretching to improve the spectral construction of the dysarthric speech (RQ2) for the mid severity instances.
We experimented with two totally different techniques to temporally align the supply and the target utterances: dynamic time warping (DTW) and phase vocoder-based mostly time stretching. DiscoGAN differs from CycleGAN-VC described in Section 2.4.1 in the following aspects: (1) utility of dynamic time warping to temporally align the source acoustic features (see Section 2.5), (2) utilization of the AHOCODER as an alternative of the WORLD vocoder, (3) a modification of the cycle-consistency loss function, known as the mean squared error (MSE) cycle-consistency loss.
We arrange our CycleGAN-VC mannequin with a set set of hyper-parameters. POSTSUBSCRIPT is about to 00. A batch measurement of 1 is used in the course of the coaching procedure, and a section of 128 frames is randomly selected from a coaching sample. POSTSUBSCRIPT because the discriminators.
POSTSUBSCRIPT are used for a second adversarial loss for bidirectionally converted features. Therefore an id-mapping loss is used to enhance preservation of linguistic info.

Nevertheless, GAN-primarily based strategies can complement time stretching to improve the spectral construction of the dysarthric speech (RQ2) for the mid severity instances.
We experimented with two totally different techniques to temporally align the supply and the target utterances: dynamic time warping (DTW) and phase vocoder-based mostly time stretching. DiscoGAN differs from CycleGAN-VC described in Section 2.4.1 in the following aspects: (1) utility of dynamic time warping to temporally align the source acoustic features (see Section 2.5), (2) utilization of the AHOCODER as an alternative of the WORLD vocoder, (3) a modification of the cycle-consistency loss function, known as the mean squared error (MSE) cycle-consistency loss.
We arrange our CycleGAN-VC mannequin with a set set of hyper-parameters. POSTSUBSCRIPT is about to 00. A batch measurement of 1 is used in the course of the coaching procedure, and a section of 128 frames is randomly selected from a coaching sample. POSTSUBSCRIPT because the discriminators.
POSTSUBSCRIPT are used for a second adversarial loss for bidirectionally converted features. Therefore an id-mapping loss is used to enhance preservation of linguistic info.

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