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stft

Syntologyentry name in harvested coderead from the graph 2026-09-24

stft appears in the code Syntology harvested for 21 papers, as 20 distinct code bodies found in 25 places (a place is one code body under one paper). At least one of them ran in 7 of the papers; 0 of the code bodies carry a behaviour fingerprint.

What this page is not. Routines are grouped here by the exact string of their function or class name. Nothing asserts that two samples named stft do the same thing, share code, or are comparable; the name is a string, not an identity. Behaviour outputs (what a fingerprinted sample returned on the shared battery) are not in this export and are not shown here; the graph at syntology.ai holds them. "Ran" means executed on a synthesized fixture, not that the code is correct or reproduces a paper.

Samples Syntology

Syntology ran 5 of the 20 distinct code bodies named stft; 15 are unverified. One tile per status, in the site's fixed vocabulary, each code body counted once:

0ran · honoured contract
0ran · violated contract
1ran · our draft was wrong
0ran · fixture could not drive it
4ran
15unverified
0fingerprinted

Licence is a property of each copy, so it is counted per place: 5 of the 25 places are pointer only (Syntology does not serve that copy's text). This site shows no code text for any sample; every row below links to the file in its repository where the record names one.

“Ran” means the sample executed on a synthesized input; it does not mean the output is correct. “Honoured” and “violated” refer to a contract Syntology drafted from the code itself; “our draft was wrong” and “fixture could not drive it” are failures of Syntology's instrument, not of the code, and those samples did run. The ran count above is every status except unverified, the same rule as each paper page.

Papers

21 papers shown of 21, newest first; 25 places in the table. A paper with no recorded date is placed by the month its arXiv id encodes, shown in the Date column as YYYY-MM (from id). One row per place: a paper whose repository defines the name more than once appears more than once, and the same code body held for several papers appears once under each, with the same status. Titles and dates are the archive's archive 2025-07-28 for papers in the archive; 1 papers have no page here and are shown by arXiv id only. Status and fingerprint are Syntology's record of each code body; licence is recorded for each place. The File cell ends with the code body's code_sha256, Syntology's identity for that exact code: an agent fetches the stored sample with Syntology's MCP tool get_code(code_sha256="…") (how to connect); click an identity to copy that call.

PaperDateFileStatus SyntologyLicence
Hearing Anywhere in Any Environment 14 Apr 2025 DragonLiu1995/xRIR_code/model/xRIR.py 0873f0c32d11b399 ran · our draft was wrong licence not identified · pointer only
BigCodec: Pushing the Limits of Low-Bitrate Neural Speech Codec 9 Sep 2024 Aria-K-Alethia/BigCodec/common/audio.py db93710edf427df0 ran MIT (permissive)
Emilia: An Extensive, Multilingual, and Diverse Speech Dataset for Large-Scale Speech Generation 7 Jul 2024 open-mmlab/Amphion/models/codec/amphion_codec/loss.py db93710edf427df0 ran MIT (permissive)
RealMAN: A Real-Recorded and Annotated Microphone Array Dataset for Dynamic Speech Enhancement and Localization 2024-06 (from id) Audio-WestlakeU/RealMAN/baselines/SE/models/oracle_beamformer.py fd9146f3aa7abf0a ran no licence file found · pointer only
WenetSpeech4TTS: A 12,800-hour Mandarin TTS Corpus for Large Speech Generation Model Benchmark 9 Jun 2024 dukGuo/valle-audiodec/AudioDec/losses/stft_loss.py b7d9653fc51614dc unverified licence not identified · pointer only
Multi-Stage Speech Bandwidth Extension with Flexible Sampling Rate Control 4 Jun 2024 yxlu-0102/AP-BWE/cal_metrics.py 0637e0097af2a747 ran MIT (permissive)
Multichannel Long-Term Streaming Neural Speech Enhancement for Static and Moving Speakers 2024-03 (from id) audio-westlakeu/nbss/models/oracle_beamformer.py fd9146f3aa7abf0a ran MIT (permissive)
Spatial Scaper: A Library to Simulate and Augment Soundscapes for Sound Event Localization and Detection in Realistic Rooms 19 Jan 2024 iranroman/spatialscaper/spatialscaper/spatialize.py dd51be8b63fa0838 ran CC-BY-4.0 · pointer only
Ring Attention with Blockwise Transformers for Near-Infinite Context 3 Oct 2023 seongho608/ringformer/stft.py 6f15bd47f3cbb1ef unverified MIT (permissive)
Fast FullSubNet: Accelerate Full-band and Sub-band Fusion Model for Single-channel Speech Enhancement 18 Dec 2022 audio-westlakeu/fullsubnet/audio_zen/acoustics/feature.py 8fe3a6260008040f unverified MIT (permissive)
Multi-Singer: Fast Multi-Singer Singing Voice Vocoder With A Large-Scale Corpus 20 Dec 2021 Rongjiehuang/Multi-Singer/losses/stft_loss.py a21b7131557388bc unverified MIT (permissive)
UnivNet: A Neural Vocoder with Multi-Resolution Spectrogram Discriminators for High-Fidelity Waveform Generation 15 Jun 2021 rishikksh20/UnivNet-pytorch/stft_loss.py d40b7ea72ed329ed unverified MIT (permissive)
StyleMelGAN: An Efficient High-Fidelity Adversarial Vocoder with Temporal Adaptive Normalization 3 Nov 2020 avi33/StyleMelGan-Unofficial/modules/stft_losses.py 41bbe12feb6090d5 unverified MIT (permissive)
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement 29 Oct 2020 yunyangzeng/taploss/Demucs/denoiser/denoiser/stft_loss.py d40b7ea72ed329ed unverified MIT (permissive)
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement 29 Oct 2020 tommy19970714/FullSubNetWithASR/audio_zen/acoustics/feature.py 3eb077cda4d7d5b9 unverified MIT (permissive)
FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement 29 Oct 2020 yunyangzeng/taploss/FullSubNet/audio_zen/acoustics/feature.py 9f9fa01352b9ea06 unverified MIT (permissive)
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech 2020-05 (from id) rishikksh20/melgan/utils/stft_loss.py d40b7ea72ed329ed unverified BSD-3-Clause (permissive)
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech 2020-05 (from id) Moon-sung-woo/ParallelWaveGan_korean/parallel_wavegan/losses/stft_loss.py d014b1a7520bc12b unverified MIT (permissive)
Multi-band MelGAN: Faster Waveform Generation for High-Quality Text-to-Speech 2020-05 (from id) rishikksh20/VocGAN/utils/stft_loss.py bebea9f2516460be unverified MIT (permissive)
Parallel WaveGAN: A fast waveform generation model based on generative adversarial networks with multi-resolution spectrogram 25 Oct 2019 bigpon/QPPWG/qppwg/losses/stft_loss.py d014b1a7520bc12b unverified MIT (permissive)
Non-Autoregressive Neural Text-to-Speech 21 May 2019 ksw0306/WaveVAE/modules.py 644cfc3c70b57f21 unverified MIT (permissive)
ClariNet: Parallel Wave Generation in End-to-End Text-to-Speech 19 Jul 2018 ksw0306/ClariNet/modules.py f3e80a7e162563ee unverified MIT (permissive)
Looking to Listen at the Cocktail Party: A Speaker-Independent Audio-Visual Model for Speech Separation 10 Apr 2018 bill9800/speech_separation/model/lib/utils.py 2f5f57d07a7df828 unverified MIT (permissive)
Deep clustering: Discriminative embeddings for segmentation and separation 18 Aug 2015 jack20951948/Deep-Clustering/audio_test.py a6f6fda8ee5763b1 unverified no licence file found · pointer only
arXiv:aaai_21419 HieDean/FAF-Net/utils.py 25b81643d433b1ad unverified MIT (permissive)

This site shows no code text; each File cell links to the file on GitHub at the repository's current default branch, which may have changed since the harvest. "Pointer only" means Syntology does not serve that copy's text, for one of four reasons: no licence file was found; the licence was not identified; the licence is recorded as permissive but that copy's record is not marked cleared; or the licence is outside the permissive list Syntology serves text under (MIT, Apache-2.0, BSD and similar). Some licences outside that list permit redistribution, such as WTFPL, and GPL-3.0 under its conditions; they are simply not on the list. Hover a licence cell for the reason. Per-sample records for a paper are on its paper page under "Code Syntology ran".

Report a problem or propose a change · a person checks every report against the paper or source before anything changes; decisions are listed on /corrections