Foundation models for speech analysis/synthesis/modification

This page summarizes the projects mentioned and recommended in the original post on /r/speechtech

InfluxDB - Power Real-Time Data Analytics at Scale
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  • AudioMAE

    This repo hosts the code and models of "Masked Autoencoders that Listen".

  • Models that seem promising are facebook's Audio-MAE, and laion's CLAP. But I'm not finding any use of them in the wild. What gives?

  • CLAP

    Contrastive Language-Audio Pretraining (by LAION-AI)

  • Models that seem promising are facebook's Audio-MAE, and laion's CLAP. But I'm not finding any use of them in the wild. What gives?

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • SpeechT5

    Unified-Modal Speech-Text Pre-Training for Spoken Language Processing

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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