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Utterance-level Aggregation For Speaker Recognition In The Wild

A python library for working with praat, textgrids, time aligned audio transcripts, and audio files. It is primarily used for extracting features from and making manipulations on audio files given hierarchical time-aligned transcriptions (utterance > word > syllable > phone, etc).

Segment an audio file and obtain utterance alignments. (Python package)

My-Voice Analysis is a Python library for the analysis of voice (simultaneous speech, high entropy) without the need of a transcription. It breaks utterances and detects syllable boundaries, fundamental frequency contours, and formants.

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Modeling Multi-turn Conversation with Deep Utterance Aggregation (COLING 2018)

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An accessible Zola theme with search, multi-language support, optional JavaScript, a perfect Lighthouse score, and comprehensive documentation. Crafted for personal websites and blogs.

Front-end speech processing aims at extracting proper features from short- term segments of a speech utterance, known as frames. It is a pre-requisite step toward any pattern recognition problem employing speech or audio (e.g., music). Here, we are interesting in voice disorder classification. Th... Read more