Pattern anomaly analysis via echo state machine trajectory classification using noisy data

Machine learning techniques provide promise for speech language distinction. A reservoir neural network is used as an anomaly resonator for language-constrained phonological characteristics. Further examination of this topic is warranted.

Method: Using voice recordings in German and English, we collected natural language samples and performed analysis and visualization.

Tech: We used Ableton Live 8, python, Karas, and python libraries.

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