v2.0.0

Added

• Moonshine engine (src/asr_lab/engines/moonshine.py): new MoonshineEngine supporting UsefulSensors/moonshine-base and UsefulSensors/moonshine-tiny. Uses the Hugging Face Transformers pipeline. English-only; no additional dependencies required.
• SenseVoice engine (src/asr_lab/engines/sensevoice.py): new SenseVoiceEngine supporting FunAudioLLM/SenseVoiceSmall via the FunASR library. Multilingual with automatic language detection (auto, zh, en, ja, ko, yue). Applies Inverse Text Normalization by default.
• Cross-language analysis: new "Cross-Language Analysis" tab in the interactive report with grouped bar chart (engine × language), engine × language heatmap, language consistency chart, and aggregated statistics table.
• Language filter in the global filter bar.
• Language column in the results summary table and language badge in transcription cards.
• Language as a "Group By" / "Color By" option in box plots.
• Language included in heatmap row labels.
• aggregator.py: statistics module (aggregate_by, cross_language_matrix, language_consistency) for multi-file and cross-language aggregation.
• HTML report, tab "Detailled transcription analysis" : sort buttons and time metric.

Changed

• Client-Side Rendering: Replaced server-side Plotly/Pandas plotting with JSON chart data (chart_data_json) for responsive client-side UI rendering.
• Reporting System: InteractiveReportGenerator now prepares a JSON-serializable records list instead of generating an HTML Plotly div.
• Engine Metrics: Updated engine_registry, nemo, vosk, aggregator, and export to expose explicit metadata/metrics required by the new client-side visualizations.
• CSV export now includes enhancement, audio_norm, and text_norm columns and reads language directly from results instead of parsing it from the dataset name.
• Scatter chart customdata includes language for filter support.
• audio_source_dir now accepts a directory, a single file, or a glob pattern:
  • Directory (e.g. "data/audio"): loads all *.json manifest files in the directory.
  • Single file (e.g. "data/audio/manifest_en.json"): loads that manifest only.
  • Glob pattern (e.g. "data/audio/manifest_fr*.json"): loads all matching .json files.
    Previously, only a directory was supported and a single hardcoded manifest.json was expected.
• Relative audio paths in manifests are now resolved from the manifest's parent directory (instead of from audio_source_dir).

Fixed

• Fix box plot controls: "Normalization" option was not wired to any data attribute — replaced by distinct "Audio Norm" and "Text Norm" options matching the existing JS switch cases.
• Convert Demucs-separated vocals to mono before writing (average channels) and simplify saving logic to write a 1-D waveform. This ensures ASR pipelines receive mono audio and avoids incorrect transposes.
• Also import os and close the file descriptor returned by tempfile.mkstemp immediately to avoid descriptor leaks and allow the downloader to open the temp file by path.

Removed

• Server-side diffs: Removed server-side character-level alignment and heavy Pandas usage in favor of a lazy JavaScript char-diff implementation.
• Delete unused visualizer.py (Matplotlib/Seaborn) and visualizer_plotly.py — all visualizations are now handled by the interactive report template via client-side JS.