LocalVQE/CITATION.cff at main · localai-org/LocalVQE · GitHub

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cff-version: 1.2.0
message: "If you use LocalVQE in academic work, please cite it using the metadata from this file."
title: "LocalVQE: Local Voice Quality Enhancement"
abstract: >-
  LocalVQE is a compact neural model for joint acoustic echo cancellation,
  noise suppression, and dereverberation of 16 kHz speech, designed to run
  in real time on commodity CPUs. It is a derivative of DeepVQE (Indenbom
  et al., Interspeech 2023) with an in-graph DCT-II analysis/synthesis
  filterbank, an S4D diagonal state-space bottleneck in place of a GRU,
  and a streaming GGML implementation at roughly one tenth of the
  DeepVQE parameter count.
type: software
authors:
  - family-names: Palethorpe
    given-names: Richard
    email: io@richiejp.com
    website: "https://richiejp.com"
  - name: "Claude (Anthropic)"
    website: "https://www.anthropic.com/claude"
repository-code: "https://github.com/localai-org/LocalVQE"
url: "https://github.com/localai-org/LocalVQE"
license: Apache-2.0
keywords:
  - acoustic-echo-cancellation
  - noise-suppression
  - dereverberation
  - speech-enhancement
  - state-space-models
  - ggml
  - real-time
  - on-device
references:
  - type: conference-paper
    title: >-
      DeepVQE: Real Time Deep Voice Quality Enhancement for Joint Acoustic
      Echo Cancellation, Noise Suppression and Dereverberation
    authors:
      - family-names: Indenbom
        given-names: Evgenii
      - family-names: Beltrán
        given-names: Nicolae-Cătălin
      - family-names: Chernov
        given-names: Mykola
      - family-names: Aichner
        given-names: Robert
    collection-title: "Proc. Interspeech 2023"
    year: 2023
    doi: "10.21437/Interspeech.2023-2176"