audio audioduration (s) 2.47 25.5 | label class label 2
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YAML Metadata Warning:The task_categories "audio-source-separation" is not in the official list: text-classification, token-classification, table-question-answering, question-answering, zero-shot-classification, translation, summarization, feature-extraction, text-generation, fill-mask, sentence-similarity, text-to-speech, text-to-audio, automatic-speech-recognition, audio-to-audio, audio-classification, audio-text-to-text, voice-activity-detection, depth-estimation, image-classification, object-detection, image-segmentation, text-to-image, image-to-text, image-to-image, image-to-video, unconditional-image-generation, video-classification, reinforcement-learning, robotics, tabular-classification, tabular-regression, tabular-to-text, table-to-text, multiple-choice, text-ranking, text-retrieval, time-series-forecasting, text-to-video, image-text-to-text, image-text-to-image, image-text-to-video, visual-question-answering, document-question-answering, zero-shot-image-classification, graph-ml, mask-generation, zero-shot-object-detection, text-to-3d, image-to-3d, image-feature-extraction, video-text-to-text, keypoint-detection, visual-document-retrieval, any-to-any, video-to-video, other
PolyVox KPI Evaluation Dataset
This dataset supports PolyVox evaluation for Problem Statement 11: Real-Time Multi-User Smart Assistant for Dynamic and Noisy Smart Environments.
It contains compact evaluation mixtures for 2-speaker and 3-speaker speech separation under clean, noisy, overlap, and optional RIR-style conditions.
Contents
manifests/kpi_dataset_manifest.csvdataset_summary.jsonaudio/containing mixtures and clean source references
Source Data And Attribution
This dataset is derived from or inspired by:
- LibriSpeech, CC BY 4.0: https://www.openslr.org/12/
- MUSAN, CC BY 4.0: https://www.openslr.org/17/
- LibriMix metadata/recipe: https://github.com/JorisCos/LibriMix
- SNIPS/Sonos NLU benchmark, CC0-1.0: https://github.com/sonos/nlu-benchmark
Intended Use
This dataset is intended for reproducing PolyVox separation and realtime-assistant evaluation results. It is not a replacement for the original source corpora.
Problem Statement KPIs
The dataset is designed to evaluate:
- 2-speaker and 3-speaker separation
- clean and noisy mixtures
- SI-SNR
- WER
- real-time factor
- model behavior under overlapping speech
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