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.hfignore ADDED
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+ .cache/
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+ cache/
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+ *.tmp
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+ *.log
README.md ADDED
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+ ---
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+ language:
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+ - en
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+ - zh
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+ task_categories:
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+ - automatic-speech-recognition
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+ tags:
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+ - audio
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+ - speech
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+ - asr
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+ - robustness
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+ - noisy-speech
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+ pretty_name: Voices-in-the-Wild-Bench
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+ configs:
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+ - config_name: default
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+ data_files:
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+ - split: real_distortion
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+ path: data/real_distortion-*.parquet
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+ - split: real_dropout
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+ path: data/real_dropout-*.parquet
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+ - split: real_echo
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+ path: data/real_echo-*.parquet
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+ - split: real_far_field
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+ path: data/real_far_field-*.parquet
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+ - split: real_mixed
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+ path: data/real_mixed-*.parquet
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+ - split: real_noise
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+ path: data/real_noise-*.parquet
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+ - split: real_obstructed
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+ path: data/real_obstructed-*.parquet
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+ - split: real_recording
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+ path: data/real_recording-*.parquet
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+ - split: syn_distortion
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+ path: data/syn_distortion-*.parquet
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+ - split: syn_dropout
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+ path: data/syn_dropout-*.parquet
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+ - split: syn_echo
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+ path: data/syn_echo-*.parquet
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+ - split: syn_far_field
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+ path: data/syn_far_field-*.parquet
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+ - split: syn_mixed
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+ path: data/syn_mixed-*.parquet
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+ - split: syn_noise
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+ path: data/syn_noise-*.parquet
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+ - split: syn_obstructed
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+ path: data/syn_obstructed-*.parquet
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+ - split: syn_recording
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+ path: data/syn_recording-*.parquet
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+ dataset_info:
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+ features:
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+ - name: audio
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+ dtype: audio
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+ - name: file_name
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+ dtype: string
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+ - name: audio_path
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+ dtype: string
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+ - name: question
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+ dtype: string
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+ - name: answer
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+ dtype: string
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+ - name: text
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+ dtype: string
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+ - name: subset
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+ dtype: string
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+ - name: prediction
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+ dtype: string
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+ - name: name
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+ dtype: string
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+ - name: index
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+ dtype: int64
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+ splits:
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+ - name: real_distortion
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+ num_bytes: 55456214
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+ num_examples: 150
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+ - name: real_dropout
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+ num_bytes: 58456076
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+ num_examples: 150
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+ - name: real_echo
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+ num_bytes: 55733234
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+ num_examples: 150
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+ - name: real_far_field
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+ num_bytes: 53090202
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+ num_examples: 150
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+ - name: real_mixed
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+ num_bytes: 167280376
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+ num_examples: 450
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+ - name: real_noise
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+ num_bytes: 57922174
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+ num_examples: 150
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+ - name: real_obstructed
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+ num_bytes: 58394744
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+ num_examples: 150
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+ - name: real_recording
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+ num_bytes: 54165700
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+ num_examples: 150
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+ - name: syn_distortion
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+ num_bytes: 137076996
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+ num_examples: 350
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+ - name: syn_dropout
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+ num_bytes: 135151778
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+ num_examples: 350
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+ - name: syn_echo
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+ num_bytes: 135258644
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+ num_examples: 350
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+ - name: syn_far_field
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+ num_bytes: 131172250
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+ num_examples: 350
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+ - name: syn_mixed
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+ num_bytes: 402623750
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+ num_examples: 1050
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+ - name: syn_noise
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+ num_bytes: 132750710
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+ num_examples: 350
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+ - name: syn_obstructed
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+ num_bytes: 132297710
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+ num_examples: 350
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+ - name: syn_recording
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+ num_bytes: 132296064
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+ num_examples: 350
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+ ---
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+
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+ # Voices-in-the-Wild-Bench
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+
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+ Voices-in-the-Wild-Bench is a bilingual benchmark for evaluating robust automatic speech recognition under real-world acoustic conditions. It contains 5,000 speech examples covering Chinese and English, synthetic and real-recorded speech, and eight acoustic scenarios.
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+
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+ ## Dataset Composition
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+
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+ | Group | Count |
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+ |---|---:|
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+ | Synthetic speech | 3,500 |
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+ | Real-recorded speech | 1,500 |
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+ | Chinese | 2,500 |
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+ | English | 2,500 |
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+ | Total | 5,000 |
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+
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+ ## Splits
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+
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+ Splits are organized by recording source and acoustic category. Prefixes denote source type:
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+
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+ - `real_`: real-recorded speech
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+ - `syn_`: synthetic speech
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+
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+ Available categories are `noise`, `far_field`, `obstructed`, `distortion`, `recording`, `echo`, `dropout`, and `mixed`.
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+
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+ Example split names:
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+
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+ ```text
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+ real_noise
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+ syn_noise
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+ real_mixed
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+ syn_mixed
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+ ```
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+
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+ ## Fields
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+
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+ - `audio`: embedded audio feature.
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+ - `file_name`: release-relative audio file name.
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+ - `audio_path`: release-relative audio path.
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+ - `question`: transcription instruction.
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+ - `answer`: reference transcription.
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+ - `text`: same as `answer`, provided for ASR tooling compatibility.
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+ - `subset`: original subset label.
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+ - `prediction`: empty placeholder for model outputs.
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+ - `name`: sample name.
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+ - `index`: sample index.
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+
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+ ## Usage
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+
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+ ```python
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+ from datasets import load_dataset
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+
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+ dataset = load_dataset(
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+ "zhifeixie/Voices-in-the-Wild-Bench",
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+ split="syn_noise",
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+ )
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+
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+ sample = dataset[0]
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+ audio = sample["audio"]
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+ reference = sample["answer"]
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+ ```
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+
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+ ## Evaluation
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+
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+ We report CER for Chinese samples and WER for English samples. See the project repository and leaderboard for evaluation scripts, model wrappers, and submission instructions:
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+
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+ - Repository: https://github.com/xzf-thu/Voices-in-the-Wild-Bench
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+ - Leaderboard: https://xzf-thu.github.io/Voices-in-the-Wild-Bench/
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+
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+ ## Citation
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+
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+ If you use this benchmark, please cite the associated paper. Citation metadata will be updated after release.
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