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Speech Transformation and Representation using Adaptive Interpolation of Weighted Spectrum Submitted By: M. Cabatuan, M1_0851203 レレレレ STRAIGHT 音音音音音音Speech Processing II

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Speech Processing

TRANSCRIPT

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Speech Transformation and Representation using Adaptive Interpolation of Weighted Spectrum

Submitted By: M. Cabatuan, M1_0851203

レポート

STRAIGHT 音情報処理論Ⅱ

Speech Processing II

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Good Morning Everyone! [org_0851203.wav]Good Morning Everyone! [org_0851203.wav]

GUI

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GUI – Analyzing the Speech Data

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Synthesized Voice

Good Morning Everyone! [syn_0851203.wav]Good Morning Everyone! [syn_0851203.wav]

Parameter Value

F0 Conversion 1

Frequency Axis Conversion 1

Temporal Axis Conversion 1

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Transformation into a Female Voice

Good Morning Everyone! [conv1_0851203.wav]Good Morning Everyone! [conv1_0851203.wav]

Parameter Value

F0 Conversion 4.1142

Frequency Axis Conversion 1.2932

Temporal Axis Conversion 1.8518

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Transformation into a Old Man`s Voice

Good Morning Everyone! [conv2a_0851203.wav]Good Morning Everyone! [conv2a_0851203.wav]

Parameter Value

F0 Conversion 3.9811

Frequency Axis Conversion 0.60263

Temporal Axis Conversion 2.0411

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Transformation into a Child`s Voice

Good Morning Everyone! [conv2b_0851203.wav]Good Morning Everyone! [conv2b_0851203.wav]

Parameter Value

F0 Conversion 8.4834

Frequency Axis Conversion 1.6337

Temporal Axis Conversion 1.8518

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Child and Old Man`s Voice

Good Morning Everyone! [conv3_0851203.wav]Good Morning Everyone! [conv3_0851203.wav]

Just a combination of child`s and the old man`s parameters

Just a combination of child`s and the old man`s parameters

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Thank you for your Attention