use dafx paper for reference as it includes more details

pytorch · Sep 14, 2024 · 031bbbf · 031bbbf
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diff --git a/docs/source/refs.bib b/docs/source/refs.bib
@@ -634,11 +634,10 @@ @article{forgione2021dynonet
  publisher={Wiley Online Library}
 }
 
-@inproceedings{ycy2024golf,
- title = {Differentiable Time-Varying Linear Prediction in the Context of End-to-End Analysis-by-Synthesis},
- author = {Chin-Yun Yu and György Fazekas},
- year = {2024},
- booktitle = {Proc. Interspeech},
- pages = {1820--1824},
- doi = {10.21437/Interspeech.2024-1187},
+@inproceedings{ycy2024diffapf,
+ title={Differentiable All-pole Filters for Time-varying Audio Systems},
+ author={Chin-Yun Yu and Christopher Mitcheltree and Alistair Carson and Stefan Bilbao and Joshua D. Reiss and György Fazekas},
+ booktitle={International Conference on Digital Audio Effects (DAFx)},
+ year={2024},
+ pages={345--352},
 }
diff --git a/src/torchaudio/functional/filtering.py b/src/torchaudio/functional/filtering.py
@@ -1000,7 +1000,7 @@ def _lfilter_core(
 def lfilter(waveform: Tensor, a_coeffs: Tensor, b_coeffs: Tensor, clamp: bool = True, batching: bool = True) -> Tensor:
  r"""Perform an IIR filter by evaluating difference equation, using differentiable implementation
  developed independently by *Yu et al.* :cite:`ismir_YuF23` and *Forgione et al.* :cite:`forgione2021dynonet`.
- The gradients of ``a_coeffs`` are computed based on a faster algorithm from :cite:`ycy2024golf`.
+ The gradients of ``a_coeffs`` are computed based on a faster algorithm from :cite:`ycy2024diffapf`.
 
  .. devices:: CPU CUDA