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4,299,418 works, Canadian by any of four routes.

Every filter state is a URL; the URL is the query; the query is citable via /q/⟨hash⟩. The page, the API and the export parse the same parameters.

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The current cohort, streamed from the database: every work column, the machine labels, the provisional scores, and the per-row validation status. Exports are capped at 100,000 rows. Mints a permanent /q/ link for this exact query. The same filters always produce the same link, whoever asks.

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Speech Recognition and Synthesis
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Direct Codex and Gemma labels are unvalidated and sparse. Distilled predictions cover the full frame and are also unvalidated. Choose the evidence source explicitly; absence of a direct label is never a negative label.

affaffiliation
fundfunder
venuejournal
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The four routes compose: require the funder route and exclude affiliation to get the funder-only stratum no affiliation-based frame ever sees.

749 results · 1 filter active ·
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20002025
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Machine labels · sparse coverage
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An unlabeled work is unknown, not a negative. Label coverage is reported on every query.
749 works in the cohort · of 4,299,418page 6 of 15

Labels cover 1 of 749 works in this cohort. The rest are unlabeled, which is not a negative label: the label table is sparse today and grows as labeling rounds land.

Distilled predictions cover 749 of 749 works in this cohort. Predictions are machine_predicted_unvalidated teacher distillation outputs. Candidate is the union; consensus is the intersection.

affunlabeled
The Pytorch-kaldi Speech Recognition Toolkit
Mirco Ravanelli, Titouan Parcollet, Yoshua Bengio
2019· preprint· en· Computer Science
distilled prediction:candidate · scholarly_communication+insufficient_payloadconsensus · none
7
citations
affno abstractunlabeled
An Empirical Study of Methods for SPN Learning and Inference
Cory J. Butz, Jhonatan de S. Oliveira, André E. dos Santos, André Teixeira, Pascal Poupart, Agastya Kalra
2018· article· en· Probabilistic Graphical Models· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
affno abstractunlabeled
Tree-structured vector quantization for speech recognition
M. Barszcz, Wanyi Chen, Gilles Boulianne, Patrick Kenny
2000· article· en· Computer Speech & Language· Computer Science
distilled prediction:candidate · metaepi_narrow+insufficient_payloadconsensus · none
7
citations
affunlabeled
Computer synthesis of Mandarin
Ching Y. Suen
2005· article· en· Computer Science
distilled prediction:candidate · noneconsensus · none
7
citations
aboutno affunlabeled
Development of the Vietnamese speech assessment
Ben Phạm
2018· article· vi· Charles Sturt University Research Output (CRO)· Computer Science
distilled prediction:candidate · metaepi_narrow+sts+insufficient_payloadconsensus · none
6
citations
affaboutunlabeled
ArtiSynth designing a modular 3D articulatory speech synthesizer
Florian Vogt, Oliver Guenther, Allan Hannam, Kees van den Doel, John E. Lloyd, Leah Vilhan +10 more
2005· article· en· The Journal of the Acoustical Society of America· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
affunlabeled
AutoDL Challenge Design and Beta Tests-Towards automatic deep learning
Zhengying Liu, Olivier Bousquet, André Elisseeff, Sérgio Escalera, Isabelle Guyon, Julio C. S. Jacques +7 more
2018· preprint· en· HAL (Le Centre pour la Communication Scientifique Directe)· Computer Science
distilled prediction:candidate · metaepi_narrow+scholarly_communicationconsensus · none
6
citations
afffundunlabeled
CL-MASR: A Continual Learning Benchmark for Multilingual ASR
Luca Della Libera, Pooneh Mousavi, Salah Zaiem, Cem Subakan, Mirco Ravanelli
2024· article· en· IEEE/ACM Transactions on Audio Speech and Language Processing· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
venueno affunlabeled
Mel-Spectrograms Based LSTM Model for Speech Emotion Recognition
Hemanta Kumar Bhuyan, Biswajit Brahma, Nilayam Kumar Kamila, Subbarao Peram, Bannaravuri Leelambika, Amaresh Sahu
2025· article· en· Traitement du signal· Computer Science
distilled prediction:candidate · noneconsensus · none
6
citations
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