--- configs: - config_name: en-pt data_files: - split: train path: data/en-pt/train/*/*.tar - split: dev path: data/en-pt/dev/*/*.tar - split: test path: data/en-pt/test/*/*.tar - config_name: en-pt-canonical data_files: - split: train path: data/en-pt/train/canonical/*.tar - split: dev path: data/en-pt/dev/canonical/*.tar - split: test path: data/en-pt/test/canonical/*.tar - config_name: en-pt-timbre data_files: - split: train path: data/en-pt/train/timbre/*.tar - split: dev path: data/en-pt/dev/timbre/*.tar - split: test path: data/en-pt/test/timbre/*.tar - config_name: en-es data_files: - split: train path: data/en-es/train/*/*.tar - split: dev path: data/en-es/dev/*/*.tar - split: test path: data/en-es/test/*/*.tar - config_name: en-es-canonical data_files: - split: train path: data/en-es/train/canonical/*.tar - split: dev path: data/en-es/dev/canonical/*.tar - split: test path: data/en-es/test/canonical/*.tar - config_name: en-es-timbre data_files: - split: train path: data/en-es/train/timbre/*.tar - split: dev path: data/en-es/dev/timbre/*.tar - split: test path: data/en-es/test/timbre/*.tar - config_name: en-fr data_files: - split: train path: data/en-fr/train/*/*.tar - split: dev path: data/en-fr/dev/*/*.tar - split: test path: data/en-fr/test/*/*.tar - config_name: en-fr-canonical data_files: - split: train path: data/en-fr/train/canonical/*.tar - split: dev path: data/en-fr/dev/canonical/*.tar - split: test path: data/en-fr/test/canonical/*.tar - config_name: en-fr-timbre data_files: - split: train path: data/en-fr/train/timbre/*.tar - split: dev path: data/en-fr/dev/timbre/*.tar - split: test path: data/en-fr/test/timbre/*.tar - config_name: en-it data_files: - split: train path: data/en-it/train/*/*.tar - split: dev path: data/en-it/dev/*/*.tar - split: test path: data/en-it/test/*/*.tar - config_name: en-it-canonical data_files: - split: train path: data/en-it/train/canonical/*.tar - split: dev path: data/en-it/dev/canonical/*.tar - split: test path: data/en-it/test/canonical/*.tar - config_name: en-it-timbre data_files: - split: train path: data/en-it/train/timbre/*.tar - split: dev path: data/en-it/dev/timbre/*.tar - split: test path: data/en-it/test/timbre/*.tar - config_name: en-ro data_files: - split: train path: data/en-ro/train/*/*.tar - split: dev path: data/en-ro/dev/*/*.tar - split: test path: data/en-ro/test/*/*.tar - config_name: en-ro-canonical data_files: - split: train path: data/en-ro/train/canonical/*.tar - split: dev path: data/en-ro/dev/canonical/*.tar - split: test path: data/en-ro/test/canonical/*.tar - config_name: en-ro-timbre data_files: - split: train path: data/en-ro/train/timbre/*.tar - split: dev path: data/en-ro/dev/timbre/*.tar - split: test path: data/en-ro/test/timbre/*.tar - config_name: en-ca data_files: - split: train path: data/en-ca/train/*/*.tar - split: dev path: data/en-ca/dev/*/*.tar - split: test path: data/en-ca/test/*/*.tar - config_name: en-ca-canonical data_files: - split: train path: data/en-ca/train/canonical/*.tar - split: dev path: data/en-ca/dev/canonical/*.tar - split: test path: data/en-ca/test/canonical/*.tar - config_name: en-ca-timbre data_files: - split: train path: data/en-ca/train/timbre/*.tar - split: dev path: data/en-ca/dev/timbre/*.tar - split: test path: data/en-ca/test/timbre/*.tar - config_name: en-de data_files: - split: train path: data/en-de/train/*/*.tar - split: dev path: data/en-de/dev/*/*.tar - split: test path: data/en-de/test/*/*.tar - config_name: en-de-canonical data_files: - split: train path: data/en-de/train/canonical/*.tar - split: dev path: data/en-de/dev/canonical/*.tar - split: test path: data/en-de/test/canonical/*.tar - config_name: en-de-timbre data_files: - split: train path: data/en-de/train/timbre/*.tar - split: dev path: data/en-de/dev/timbre/*.tar - split: test path: data/en-de/test/timbre/*.tar - config_name: en-nl data_files: - split: train path: data/en-nl/train/*/*.tar - split: dev path: data/en-nl/dev/*/*.tar - split: test path: data/en-nl/test/*/*.tar - config_name: en-nl-canonical data_files: - split: train path: data/en-nl/train/canonical/*.tar - split: dev path: data/en-nl/dev/canonical/*.tar - split: test path: data/en-nl/test/canonical/*.tar - config_name: en-nl-timbre data_files: - split: train path: data/en-nl/train/timbre/*.tar - split: dev path: data/en-nl/dev/timbre/*.tar - split: test path: data/en-nl/test/timbre/*.tar - config_name: en-sv data_files: - split: train path: data/en-sv/train/*/*.tar - split: dev path: data/en-sv/dev/*/*.tar - split: test path: data/en-sv/test/*/*.tar - config_name: en-sv-canonical data_files: - split: train path: data/en-sv/train/canonical/*.tar - split: dev path: data/en-sv/dev/canonical/*.tar - split: test path: data/en-sv/test/canonical/*.tar - config_name: en-sv-timbre data_files: - split: train path: data/en-sv/train/timbre/*.tar - split: dev path: data/en-sv/dev/timbre/*.tar - split: test path: data/en-sv/test/timbre/*.tar - config_name: en-da data_files: - split: train path: data/en-da/train/*/*.tar - split: dev path: data/en-da/dev/*/*.tar - split: test path: data/en-da/test/*/*.tar - config_name: en-da-canonical data_files: - split: train path: data/en-da/train/canonical/*.tar - split: dev path: data/en-da/dev/canonical/*.tar - split: test path: data/en-da/test/canonical/*.tar - config_name: en-da-timbre data_files: - split: train path: data/en-da/train/timbre/*.tar - split: dev path: data/en-da/dev/timbre/*.tar - split: test path: data/en-da/test/timbre/*.tar - config_name: en-no data_files: - split: train path: data/en-no/train/*/*.tar - split: dev path: data/en-no/dev/*/*.tar - split: test path: data/en-no/test/*/*.tar - config_name: en-no-canonical data_files: - split: train path: data/en-no/train/canonical/*.tar - split: dev path: data/en-no/dev/canonical/*.tar - split: test path: data/en-no/test/canonical/*.tar - config_name: en-no-timbre data_files: - split: train path: data/en-no/train/timbre/*.tar - split: dev path: data/en-no/dev/timbre/*.tar - split: test path: data/en-no/test/timbre/*.tar - config_name: en-ru data_files: - split: train path: data/en-ru/train/*/*.tar - split: dev path: data/en-ru/dev/*/*.tar - split: test path: data/en-ru/test/*/*.tar - config_name: en-ru-canonical data_files: - split: train path: data/en-ru/train/canonical/*.tar - split: dev path: data/en-ru/dev/canonical/*.tar - split: test path: data/en-ru/test/canonical/*.tar - config_name: en-ru-timbre data_files: - split: train path: data/en-ru/train/timbre/*.tar - split: dev path: data/en-ru/dev/timbre/*.tar - split: test path: data/en-ru/test/timbre/*.tar - config_name: en-pl data_files: - split: train path: data/en-pl/train/*/*.tar - split: dev path: data/en-pl/dev/*/*.tar - split: test path: data/en-pl/test/*/*.tar - config_name: en-pl-canonical data_files: - split: train path: data/en-pl/train/canonical/*.tar - split: dev path: data/en-pl/dev/canonical/*.tar - split: test path: data/en-pl/test/canonical/*.tar - config_name: en-pl-timbre data_files: - split: train path: data/en-pl/train/timbre/*.tar - split: dev path: data/en-pl/dev/timbre/*.tar - split: test path: data/en-pl/test/timbre/*.tar - config_name: en-cs data_files: - split: train path: data/en-cs/train/*/*.tar - split: dev path: data/en-cs/dev/*/*.tar - split: test path: data/en-cs/test/*/*.tar - config_name: en-cs-canonical data_files: - split: train path: data/en-cs/train/canonical/*.tar - split: dev path: data/en-cs/dev/canonical/*.tar - split: test path: data/en-cs/test/canonical/*.tar - config_name: en-cs-timbre data_files: - split: train path: data/en-cs/train/timbre/*.tar - split: dev path: data/en-cs/dev/timbre/*.tar - split: test path: data/en-cs/test/timbre/*.tar - config_name: en-uk data_files: - split: train path: data/en-uk/train/*/*.tar - split: dev path: data/en-uk/dev/*/*.tar - split: test path: data/en-uk/test/*/*.tar - config_name: en-uk-canonical data_files: - split: train path: data/en-uk/train/canonical/*.tar - split: dev path: data/en-uk/dev/canonical/*.tar - split: test path: data/en-uk/test/canonical/*.tar - config_name: en-uk-timbre data_files: - split: train path: data/en-uk/train/timbre/*.tar - split: dev path: data/en-uk/dev/timbre/*.tar - split: test path: data/en-uk/test/timbre/*.tar - config_name: en-zh data_files: - split: train path: data/en-zh/train/*/*.tar - split: dev path: data/en-zh/dev/*/*.tar - split: test path: data/en-zh/test/*/*.tar - config_name: en-zh-canonical data_files: - split: train path: data/en-zh/train/canonical/*.tar - split: dev path: data/en-zh/dev/canonical/*.tar - split: test path: data/en-zh/test/canonical/*.tar - config_name: en-zh-timbre data_files: - split: train path: data/en-zh/train/timbre/*.tar - split: dev path: data/en-zh/dev/timbre/*.tar - split: test path: data/en-zh/test/timbre/*.tar - config_name: en-ja data_files: - split: train path: data/en-ja/train/*/*.tar - split: dev path: data/en-ja/dev/*/*.tar - split: test path: data/en-ja/test/*/*.tar - config_name: en-ja-canonical data_files: - split: train path: data/en-ja/train/canonical/*.tar - split: dev path: data/en-ja/dev/canonical/*.tar - split: test path: data/en-ja/test/canonical/*.tar - config_name: en-ja-timbre data_files: - split: train path: data/en-ja/train/timbre/*.tar - split: dev path: data/en-ja/dev/timbre/*.tar - split: test path: data/en-ja/test/timbre/*.tar - config_name: en-ko data_files: - split: train path: data/en-ko/train/*/*.tar - split: dev path: data/en-ko/dev/*/*.tar - split: test path: data/en-ko/test/*/*.tar - config_name: en-ko-canonical data_files: - split: train path: data/en-ko/train/canonical/*.tar - split: dev path: data/en-ko/dev/canonical/*.tar - split: test path: data/en-ko/test/canonical/*.tar - config_name: en-ko-timbre data_files: - split: train path: data/en-ko/train/timbre/*.tar - split: dev path: data/en-ko/dev/timbre/*.tar - split: test path: data/en-ko/test/timbre/*.tar - config_name: en-fi data_files: - split: train path: data/en-fi/train/*/*.tar - split: dev path: data/en-fi/dev/*/*.tar - split: test path: data/en-fi/test/*/*.tar - config_name: en-fi-canonical data_files: - split: train path: data/en-fi/train/canonical/*.tar - split: dev path: data/en-fi/dev/canonical/*.tar - split: test path: data/en-fi/test/canonical/*.tar - config_name: en-fi-timbre data_files: - split: train path: data/en-fi/train/timbre/*.tar - split: dev path: data/en-fi/dev/timbre/*.tar - split: test path: data/en-fi/test/timbre/*.tar - config_name: en-hu data_files: - split: train path: data/en-hu/train/*/*.tar - split: dev path: data/en-hu/dev/*/*.tar - split: test path: data/en-hu/test/*/*.tar - config_name: en-hu-canonical data_files: - split: train path: data/en-hu/train/canonical/*.tar - split: dev path: data/en-hu/dev/canonical/*.tar - split: test path: data/en-hu/test/canonical/*.tar - config_name: en-hu-timbre data_files: - split: train path: data/en-hu/train/timbre/*.tar - split: dev path: data/en-hu/dev/timbre/*.tar - split: test path: data/en-hu/test/timbre/*.tar - config_name: en-hi data_files: - split: train path: data/en-hi/train/*/*.tar - split: dev path: data/en-hi/dev/*/*.tar - split: test path: data/en-hi/test/*/*.tar - config_name: en-hi-canonical data_files: - split: train path: data/en-hi/train/canonical/*.tar - split: dev path: data/en-hi/dev/canonical/*.tar - split: test path: data/en-hi/test/canonical/*.tar - config_name: en-hi-timbre data_files: - split: train path: data/en-hi/train/timbre/*.tar - split: dev path: data/en-hi/dev/timbre/*.tar - split: test path: data/en-hi/test/timbre/*.tar - config_name: en-fa data_files: - split: train path: data/en-fa/train/*/*.tar - split: dev path: data/en-fa/dev/*/*.tar - split: test path: data/en-fa/test/*/*.tar - config_name: en-fa-canonical data_files: - split: train path: data/en-fa/train/canonical/*.tar - split: dev path: data/en-fa/dev/canonical/*.tar - split: test path: data/en-fa/test/canonical/*.tar - config_name: en-fa-timbre data_files: - split: train path: data/en-fa/train/timbre/*.tar - split: dev path: data/en-fa/dev/timbre/*.tar - split: test path: data/en-fa/test/timbre/*.tar - config_name: en-el data_files: - split: train path: data/en-el/train/*/*.tar - split: dev path: data/en-el/dev/*/*.tar - split: test path: data/en-el/test/*/*.tar - config_name: en-el-canonical data_files: - split: train path: data/en-el/train/canonical/*.tar - split: dev path: data/en-el/dev/canonical/*.tar - split: test path: data/en-el/test/canonical/*.tar - config_name: en-el-timbre data_files: - split: train path: data/en-el/train/timbre/*.tar - split: dev path: data/en-el/dev/timbre/*.tar - split: test path: data/en-el/test/timbre/*.tar - config_name: en-he data_files: - split: train path: data/en-he/train/*/*.tar - split: dev path: data/en-he/dev/*/*.tar - split: test path: data/en-he/test/*/*.tar - config_name: en-he-canonical data_files: - split: train path: data/en-he/train/canonical/*.tar - split: dev path: data/en-he/dev/canonical/*.tar - split: test path: data/en-he/test/canonical/*.tar - config_name: en-he-timbre data_files: - split: train path: data/en-he/train/timbre/*.tar - split: dev path: data/en-he/dev/timbre/*.tar - split: test path: data/en-he/test/timbre/*.tar - config_name: en-tr data_files: - split: train path: data/en-tr/train/*/*.tar - split: dev path: data/en-tr/dev/*/*.tar - split: test path: data/en-tr/test/*/*.tar - config_name: en-tr-canonical data_files: - split: train path: data/en-tr/train/canonical/*.tar - split: dev path: data/en-tr/dev/canonical/*.tar - split: test path: data/en-tr/test/canonical/*.tar - config_name: en-tr-timbre data_files: - split: train path: data/en-tr/train/timbre/*.tar - split: dev path: data/en-tr/dev/timbre/*.tar - split: test path: data/en-tr/test/timbre/*.tar - config_name: en-th data_files: - split: train path: data/en-th/train/*/*.tar - split: dev path: data/en-th/dev/*/*.tar - split: test path: data/en-th/test/*/*.tar - config_name: en-th-canonical data_files: - split: train path: data/en-th/train/canonical/*.tar - split: dev path: data/en-th/dev/canonical/*.tar - split: test path: data/en-th/test/canonical/*.tar - config_name: en-th-timbre data_files: - split: train path: data/en-th/train/timbre/*.tar - split: dev path: data/en-th/dev/timbre/*.tar - split: test path: data/en-th/test/timbre/*.tar - config_name: en-id data_files: - split: train path: data/en-id/train/*/*.tar - split: dev path: data/en-id/dev/*/*.tar - split: test path: data/en-id/test/*/*.tar - config_name: en-id-canonical data_files: - split: train path: data/en-id/train/canonical/*.tar - split: dev path: data/en-id/dev/canonical/*.tar - split: test path: data/en-id/test/canonical/*.tar - config_name: en-id-timbre data_files: - split: train path: data/en-id/train/timbre/*.tar - split: dev path: data/en-id/dev/timbre/*.tar - split: test path: data/en-id/test/timbre/*.tar - config_name: en-vi data_files: - split: train path: data/en-vi/train/*/*.tar - split: dev path: data/en-vi/dev/*/*.tar - split: test path: data/en-vi/test/*/*.tar - config_name: en-vi-canonical data_files: - split: train path: data/en-vi/train/canonical/*.tar - split: dev path: data/en-vi/dev/canonical/*.tar - split: test path: data/en-vi/test/canonical/*.tar - config_name: en-vi-timbre data_files: - split: train path: data/en-vi/train/timbre/*.tar - split: dev path: data/en-vi/dev/timbre/*.tar - split: test path: data/en-vi/test/timbre/*.tar task_categories: - audio-to-audio - text-to-speech - translation language: - en - pt - es - fr - it - ro - ca - de - nl - sv - da - no - ru - pl - cs - uk - zh - ja - ko - fi - hu - hi - fa - el - he - tr - th - id - vi license: cc-by-nc-4.0 tags: - arxiv:2609.13413 - speech-to-speech-translation - speech-translation - common-voice - cross-lingual-tts - voice-cloning size_categories: - 10M 28 target languages, ~17ms/sentence) │ ▼ ┌───────────────────────────┐ │ 3. Speech Synthesis │ ──► k2-fsa/OmniVoice (zero-shot cross-lingual TTS) └─────────────┬─────────────┘ │ ┌───────┴───────────────────────┐ ▼ ▼ CVSS-X-C (Canonical) CVSS-X-T (Timbre-Transferred) 2 fixed reference voices Cloned voice from English source (~6,730 hours) (~9,340 hours) ``` 1. **Source Data & Alignment**: English recordings from Common Voice version 17 aligned via normalized text matching with the original CVSS corpus (recovering 91.0% of samples). The dev set is supplemented from the training split to reach exactly 10,000 samples. 2. **Text Translation**: Transcripts translated using `facebook/nllb-200-distilled-600M`, selected after extensive benchmarking across 7 translation models for its optimal quality/throughput trade-off. 3. **Speech Synthesis**: Generated with `k2-fsa/OmniVoice`, a multilingual transformer TTS engine featuring zero-shot cross-lingual synthesis without transferring source accent artifacts. --- ## Quality Evaluation Results Evaluation performed on a stratified random sample of **200 utterances per language** from the dev set (5,600 samples per variant, determined via statistical power analysis). ### Evaluation by Language Family (CVSS-X) | Family (N) | WER/CER (C) | WER/CER (T) | ASR-BLEU (C) | ASR-BLEU (T) | UTMOS (C) | UTMOS (T) | | :--- | :---: | :---: | :---: | :---: | :---: | :---: | | **Romance** (6) | 5.8 | 8.2 | 90.3 | 88.0 | 3.54 | 3.27 | | **Germanic** (5) | 9.5 | 12.2 | 85.3 | 81.1 | 3.62 | 3.27 | | **Slavic** (4) | 7.0 | 7.7 | 86.9 | 85.9 | 3.48 | 3.17 | | **CJK** (3)* | 5.0 | 10.2 | 75.2 | 67.9 | 3.56 | 3.20 | | **Uralic** (2) | 10.3 | 14.3 | 84.0 | 78.3 | 3.54 | 3.21 | | **Indo-Iranian** (2) | 22.5 | 23.0 | 63.7 | 60.0 | 3.61 | 3.20 | | **Other** (6) | 24.8 | 24.8 | 65.0 | 64.9 | 3.53 | 3.14 | | **Average** | **12.1** | **14.1** | **82.4** | **79.4** | **3.55** | **3.21** | *\*For unsegmented CJK languages (ZH, JA, KO), Character Error Rate (CER) and character-level BLEU are reported.* ### Overall Comparison with CVSS (Re-evaluated with Same Pipeline) | Metric | CVSS-X-C | CVSS-X-T | CVSS-C | CVSS-T | | :--- | :---: | :---: | :---: | :---: | | **UTMOS** (1–5) | 3.55 | 3.21 | 4.43 | 3.61 | | **ASR-BLEU** | 82.4 | 79.4 | 94.2 | 93.8 | | **WER/CER** (%) | 12.1 | 14.1 | 3.5 | 4.0 | | **Speaker Similarity (ECAPA-TDNN)** | -- | **0.607** | -- | -- | --- ## Repository Structure ``` CVSS-X/ ├── README.md # Dataset documentation and reproduction guide ├── LICENSE # CC-BY-NC 4.0 license ├── requirements.txt # Unified Python dependencies ├── setup_env.sh # One-stop environment setup script ├── .gitignore # Git ignore rules │ ├── metadata/ # Official Pre-computed Manifests │ ├── manifest_train.json # 222,349 source utterances │ ├── manifest_dev.json # 10,000 source utterances │ └── manifest_test.json # 7,843 source utterances │ ├── config/ │ ├── languages.yaml # Complete metadata for all 28 target languages │ └── pipeline.yaml # Default hyperparameters and paths │ ├── pipeline/ # Dataset Creation Pipeline (Clean & Modular) │ ├── __init__.py │ ├── 01_prepare_source.py # CV17 extraction, CVSS alignment, and split generation │ ├── 02_translate.py # NLLB multilingual translation (EN -> 28 languages) │ ├── 03_synthesize.py # OmniVoice TTS synthesis (Canonical & Timbre modes) │ └── utils.py # Data schemas, manifest I/O, checkpoints, audio helpers │ ├── evaluation/ # Quality Evaluation Suite │ ├── __init__.py │ ├── sample_dev.py # Deterministic 200 utterances/lang dev sampling (seed=42) │ ├── evaluate_asr_bleu.py # Whisper large-v3 ASR + SacreBLEU / chrF / CER / WER │ ├── evaluate_utmos.py # Neural MOS speech naturalness (UTMOS) │ ├── evaluate_speaker_sim.py # ECAPA-TDNN cross-lingual speaker similarity │ ├── evaluate_cvss_baseline.py # Re-evaluation of original CVSS baseline │ └── generate_tables.py # Summary report & LaTeX/Markdown table generator │ ├── scripts/ # Reproducible Bash Runners │ ├── 01_run_data_prep.sh # Executes Step 1 (source data prep or load official) │ ├── 02_run_translation.sh # Executes Step 2 (translation) │ ├── 03_run_synthesis_canonical.sh # Executes Step 3 (canonical synthesis) │ ├── 04_run_synthesis_timbre.sh # Executes Step 4 (timbre synthesis) │ └── 05_run_evaluation.sh # Executes Step 5 (full evaluation suite) │ └── assets/ # Reference voice templates ├── pt-male.wav └── pt-female.wav ``` --- ## Quickstart & Reproduction ### 1. Environment Setup Clone this repository and run the setup script: ```bash git clone https://github.com/Ermisai/CVSS-X.git cd CVSS-X ./setup_env.sh conda activate cvss-x # or source .venv/bin/activate ``` ### 2. Step 1: Source Preparation (Official vs. Custom) You have two options to prepare the source data: #### Option A: Use the Official Pre-computed Manifests (Recommended) You can directly use the exact aligned splits included in this repository under `metadata/`: ```bash # Export official manifests directly to data/manifests/ USE_OFFICIAL_MANIFESTS=true ./scripts/01_run_data_prep.sh # Or optionally link your local Common Voice 17 audio directory: USE_OFFICIAL_MANIFESTS=true CV17_DIR=/path/to/cv17 ./scripts/01_run_data_prep.sh ``` #### Option B: Recompute Alignment from Scratch If you wish to re-execute text alignment from raw Common Voice v4 and v17: ```bash CV4_DIR=/path/to/cv4 CV17_DIR=/path/to/cv17 ./scripts/01_run_data_prep.sh ``` This creates `data/manifests/manifest_{train,dev,test}.json` containing exactly 222,349 / 10,000 / 7,843 samples. ### 3. Step 2: Multilingual Translation Translate English transcripts to all 28 target languages (or a specific subset): ```bash # Translate all 28 languages: ./scripts/02_run_translation.sh # Or translate specific languages (e.g., Portuguese and Spanish): LANGS="pt,es" ./scripts/02_run_translation.sh ``` Checkpoints are saved automatically every 2,000 samples for seamless resume capability. ### 4. Step 3 & 4: Speech Synthesis Generate speech using OmniVoice: ```bash # 1. Canonical Variant (CVSS-X-C): ./scripts/03_run_synthesis_canonical.sh # 2. Timbre-Transferred Variant (CVSS-X-T): ./scripts/04_run_synthesis_timbre.sh ``` Audio files are saved under `data/synthesized/en-{lang}/{split}/{variant}/{sample_id}.wav` at 24kHz. ### 5. Step 5: Evaluation Suite Run the full evaluation pipeline (dev sampling, ASR-BLEU with Whisper large-v3, UTMOS, and ECAPA-TDNN): ```bash ./scripts/05_run_evaluation.sh ``` The resulting Markdown report and paper tables will be generated in `evaluation/evaluation_report.md`. --- ## Hugging Face Dataset Access & WebDataset Streaming The complete dataset (~2.7 TB across 28 language pairs, 13.4M+ audio files) is being mirrored to the Hugging Face Hub under the repository [`lgris/CVSS-X`](https://huggingface.co/datasets/lgris/CVSS-X). ### 1. Standard Streaming via `load_dataset` You can stream subsets directly per language pair without downloading the entire corpus: ```python from datasets import load_dataset # Stream Portuguese canonical dev split dataset = load_dataset("lgris/CVSS-X", "en-pt", split="dev", streaming=True) sample = next(iter(dataset)) print(sample.keys()) ``` ### 2. Loading via WebDataset Format Audio files are packaged into sequential `.tar` archives natively compatible with the [Hugging Face Datasets WebDataset loader](https://huggingface.co/docs/datasets/en/loading#webdataset). You can stream shards directly: ```python from datasets import load_dataset # Load WebDataset shards directly in streaming mode dataset_wds = load_dataset( "webdataset", data_files={"train": "https://huggingface.co/datasets/lgris/CVSS-X/resolve/main/data/en-pt/train/*/*.tar"}, split="train", streaming=True ) sample_wds = next(iter(dataset_wds)) # WebDataset automatically decodes the audio feature audio = sample_wds["wav"] print(f"Sample key: {sample_wds['__key__']}, audio sampling rate: {audio['sampling_rate']}") ``` --- ## Roadmap: Version 2 & Downstream Models (In Development) > [!NOTE] > **We are actively working on Version 2 (v2) of the dataset and downstream baseline models.** Key improvements and models currently planned or in progress: - **TAGARELA v2 Baseline Model Integration**: Adapting and training discrete-token speech-to-speech translation baselines directly on CVSS-X using the [TAGARELA v2](https://github.com/freds0/TAGARELA_v2) architecture ([`freds0/TAGARELA_v2`](https://github.com/freds0/TAGARELA_v2)). - **TranslateGemma-12B Integration**: Replacing NLLB-200 with Google's TranslateGemma-12B to significantly improve translation fidelity, natural phrasing, and eliminate commercial restrictions by transitioning to an **Apache 2.0** license. - **Common Voice 26 & Spontaneous Speech 4.0**: Expanding from CV17 to Common Voice 26 and integrating Spontaneous Speech 4.0, offering far richer conversational speech, more realistic disfluencies, and greater speaker diversity. --- ## License The CVSS-X corpus and code are licensed as follows: - **Audio & Source Transcripts**: Inherited from Mozilla Common Voice (released under **CC0 1.0 Universal**). - **Synthetic Translations & Speech Pairs**: Distributed under **Creative Commons Attribution-NonCommercial 4.0 International (CC-BY-NC 4.0)** due to the underlying `facebook/nllb-200-distilled-600M` model license. - **Codebase & Scripts**: Released under the permissive **MIT License**. See [LICENSE](LICENSE) for full legal text. --- ## Citation If you use CVSS-X in your research, please cite our paper: ```bibtex @misc{gris2026cvssx, title={{CVSS-X: A Multilingual Speech-to-Speech Translation Corpus for 28 Languages}}, author={Lucas Rafael Stefanel Gris and Alef Iury Siqueira Ferreira and Frederico Santos de Oliveira and Augusto Seben da Rosa and Alexandre Costa Ferro Filho and Arlindo Rodrigues Galv{\~a}o Filho and Anderson da Silva Soares}, year={2026}, eprint={2609.13413}, archivePrefix={arXiv}, primaryClass={cs.CL}, doi={10.48550/arXiv.2609.13413}, url={https://arxiv.org/abs/2609.13413} } ``` Preprint available on arXiv: [https://arxiv.org/abs/2609.13413](https://arxiv.org/abs/2609.13413)