Automatic Speech Recognition
MLX
ONNX
GGUF
Rust
English
Chinese
audio8
streaming-asr
quantized
experimental
Instructions to use Reza2kn/Audio8-ASR-Infinite-Compressed with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- MLX
How to use Reza2kn/Audio8-ASR-Infinite-Compressed with MLX:
# Download the model from the Hub pip install huggingface_hub[hf_xet] hf download Reza2kn/Audio8-ASR-Infinite-Compressed --local-dir Audio8-ASR-Infinite-Compressed
- Notebooks
- Google Colab
- Kaggle
- Local Apps Settings
- LM Studio
- Atomic Chat
Download evaluation/gpu-long/cuda/causal-alignment-audit.json from Reza2kn/Audio8-ASR-Infinite-Compressed: direct link, hf CLI and curl.
- Browser
- Download file 3.35 kB
-
https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/gpu-long/cuda/causal-alignment-audit.json
- Command line
-
hf download hf://Reza2kn/Audio8-ASR-Infinite-Compressed/evaluation/gpu-long/cuda/causal-alignment-audit.json
-
curl -L -o causal-alignment-audit.json https://huggingface.co/Reza2kn/Audio8-ASR-Infinite-Compressed/resolve/main/evaluation/gpu-long/cuda/causal-alignment-audit.json
3.35 kB
| { | |
| "status": "supplementary_audit_complete", | |
| "audit": { | |
| "same_session_unambiguous_matches": 291, | |
| "cross_reset_matches": [ | |
| { | |
| "reference_index": 131, | |
| "hypothesis_index": 68, | |
| "text": "on", | |
| "reference_start": 132.91000000000003, | |
| "reference_end": 133.42000000000002, | |
| "emitted_seconds": 138.75317345303483, | |
| "lag_from_word_end_seconds": 5.333173453034817, | |
| "lag_from_word_start_seconds": 5.843173453034808, | |
| "alignment_unambiguous": true, | |
| "possible_hypothesis_indices": [ | |
| 68 | |
| ], | |
| "may_be_unmatched_in_optimal_alignment": false | |
| } | |
| ], | |
| "maximum_seconds": 0.7862039440218496, | |
| "p95_seconds": 0.5573388150148162, | |
| "over_one_second": 0, | |
| "omitted_and_substituted_words_remain_errors": true | |
| }, | |
| "original_counts": { | |
| "hits": 301, | |
| "substitutions": 39, | |
| "deletions": 138, | |
| "insertions": 4, | |
| "reference_units": 478, | |
| "hypothesis_units": 344, | |
| "errors": 181, | |
| "error_rate": 0.3786610878661088 | |
| }, | |
| "original_alignment_timing": { | |
| "measured": true, | |
| "actual_arrival_paced": true, | |
| "timing_basis": "Host receipt relative to post-ready20ms source feeder; complete exposed meeting", | |
| "correctly_matched_units": 301, | |
| "ambiguous_matched_units": 9, | |
| "ambiguity_method": "all minimum unit-cost Levenshtein paths, without timing-based selection", | |
| "unambiguous_matched_units": 292, | |
| "unambiguous_maximum_seconds": 5.333173453034817, | |
| "unmatched_reference_units": 177, | |
| "matched_reference_fraction": 0.6297071129707112, | |
| "min_seconds": -2.344643686963238, | |
| "p50_seconds": 0.43729305997493384, | |
| "p95_seconds": 0.5664107729122065, | |
| "maximum_seconds": 5.333173453034817, | |
| "matched_units_above_one_second": 1, | |
| "all_matched_units_within_one_second": null, | |
| "whole_release_pass": false, | |
| "limitation": "Lag summaries use one deterministic text alignment and are descriptive when alternative optimal alignments exist. Only unambiguous matches can support per-word timing claims. Omissions/substitutions remain errors, never zero-latency successes. Published reference timing uncertainty and overlapping-speaker word order are not independently corrected." | |
| }, | |
| "production_ready": false, | |
| "whole_release_pass": false, | |
| "not_a_replacement_score": true, | |
| "method": "Textual matches wholly outside the emitting ASR session cannot identify the spoken word for latency. They remain unresolved recognition evidence, never zero-latency successes. Original global score and latency are retained.", | |
| "inputs": { | |
| "reports/published-q3-cuda-long-v1/run.json": "dfcd3b82a7f8da0601c34ad503927bcbd5635ae1e19053b355b7facf6d280f6d", | |
| "reports/published-q3-cuda-long-v1/run.jsonl": "b692e0201e7dfd3ed7b905adde71f717fe1d1d7b1b9f90c8f1060ba8b36b9f7c", | |
| "reports/published-q3-cuda-long-v1/run.observed.jsonl": "d33d1e90c7aecf1bd5e037729a499e2efbeeb9bf3574365b3ee9accbd6d6703b", | |
| "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/scripts/audit_gpu_caption_cross_reset_v1.py": "b70d33a0c21e7e654afe3fa3f10a494506d3006cfd0732280b0d41d59b4d4dc1", | |
| "/Users/Ajab/conductor/workspaces/visualears/experiments/audio8-ternary/scripts/verify_mlx_q3_memory_regression_v1.py": "368b63a07853603f4eb8dd7bcaba05f73764d2c35ab220a3eb3f8d6c6e3aca37" | |
| } | |
| } | |