Update README: add easytranscriber row + benchmark

README.md

@@ -34,16 +34,19 @@ No download/upload step. Buckets are mounted directly as volumes via [hf-mount](
 
 ### Transcription
 
-| Script | Model | Backend | Speed (A100) |
-|--------|-------|---------|--------------|
-| `cohere-transcribe.py` | Cohere Transcribe (2B) | transformers | 161x RT |
-| `cohere-transcribe-vllm.py` | Cohere Transcribe (2B) | vLLM nightly | 214x RT |
+| Script | Model | Backend | Output | Speed |
+|--------|-------|---------|--------|-------|
+| `cohere-transcribe.py` | Cohere Transcribe (2B) | transformers | `.txt` | 161x RT (A100) |
+| `cohere-transcribe-vllm.py` | Cohere Transcribe (2B) | vLLM nightly | `.txt` | 214x RT (A100) |
+| `easytranscriber-transcribe.py` | Cohere Transcribe 2B (default) or Whisper variants | [easytranscriber](https://github.com/kb-labb/easytranscriber) | JSON word timestamps (+ optional `.txt` / `.srt`) | 42.9x RT (L4) |
 
-**`cohere-transcribe.py`** (recommended) — uses `model.transcribe()` with automatic long-form chunking, overlap, and reassembly. Stable dependencies.
+**`cohere-transcribe.py`** (recommended for plain text) — uses `model.transcribe()` with automatic long-form chunking, overlap, and reassembly. Stable dependencies.
 
 **`cohere-transcribe-vllm.py`** — experimental vLLM variant. Faster but requires nightly vLLM and has minor duplication at chunk boundaries.
 
-#### Options
+**`easytranscriber-transcribe.py`** — when you need **word-level timestamps** (subtitles, search indexing, forced alignment). Runs VAD → ASR → wav2vec2 emissions → forced alignment. Defaults to the Cohere backend so you get the same model as the other scripts with alignment on top; swap to `--backend ct2` + a Whisper model for languages Cohere doesn't cover (e.g. Swedish via `KBLab/kb-whisper-large`).
+
+#### Options — `cohere-transcribe.py` / `cohere-transcribe-vllm.py`
 
 | Flag | Default | Description |
 |------|---------|-------------|
@@ -52,15 +55,39 @@ No download/upload step. Buckets are mounted directly as volumes via [hf-mount](
 | `--batch-size` | 16 | Batch size for inference |
 | `--max-files` | all | Limit files to process (for testing) |
 
+#### Options — `easytranscriber-transcribe.py`
+
+| Flag | Default | Description |
+|------|---------|-------------|
+| `--language` | required | ISO 639-1 code. Cohere supports the same 14 languages as above; ct2/hf support any Whisper language |
+| `--backend` | `cohere` | `cohere`, `ct2` (CTranslate2 Whisper, fastest for Whisper), or `hf` (transformers) |
+| `--transcription-model` | Cohere 2B / distil-whisper-large-v3.5 | HF model ID; override to use KB-Whisper, Whisper-large-v3, etc. |
+| `--emissions-model` | per-language default | wav2vec2 for forced alignment: en→`wav2vec2-base-960h`, sv→`voxrex-swedish`, else→`facebook/mms-1b-all` |
+| `--vad` | `silero` | `silero` (no auth) or `pyannote` (requires accepting terms + HF_TOKEN) |
+| `--tokenizer-lang` | derived from `--language` | NLTK Punkt language name for sentence tokenization |
+| `--emit-txt` | off | Also write `.txt` transcripts alongside the JSON alignments |
+| `--emit-srt` | off | Also write `.srt` subtitles derived from alignment segments |
+| `--batch-size-features` | 8 | Feature-extraction batch size |
+| `--batch-size-transcribe` | 16 | ASR batch size (where backend supports it) |
+| `--max-files` | all | Limit files to process (for testing) |
+
 #### Benchmarks
 
-CBS Suspense (1940s radio drama), 66 episodes, 33 hours of audio:
+CBS Suspense (1940s radio drama), 66 episodes, 33 hours of audio.
+
+**`cohere-transcribe.py`** (plain text):
 
 | GPU | Time | RTFx |
 |-----|------|------|
 | A100-SXM4-80GB | 12.3 min | 161x realtime |
 | L4 | ~64s / 30 min episode | 28x realtime |
 
+**`easytranscriber-transcribe.py`** (JSON alignments + optional .txt/.srt; VAD → ASR → wav2vec2 → forced alignment):
+
+| GPU | Time | RTFx | Output |
+|-----|------|------|--------|
+| L4 | 46.2 min | 42.9x realtime | 66 JSON + SRT + TXT (42,633 segments, 295k words) |
+
 ### Data
 
 | Script | Description |
@@ -71,3 +98,4 @@ CBS Suspense (1940s radio drama), 66 episodes, 33 hours of audio:
 
 - **Gated model**: Accept terms at the [model page](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026) before use.
 - **Tokenizer workaround**: `cohere-transcribe.py` applies a one-line patch for a tokenizer compat issue. Will be removed once upstream fixes land ([model discussion](https://huggingface.co/CohereLabs/cohere-transcribe-03-2026/discussions/11)).
+- **easytranscriber**: the Cohere backend requires `transformers>=5.4.0` (pinned in the script). Pyannote VAD is gated — accept terms at [pyannote/segmentation-3.0](https://huggingface.co/pyannote/segmentation-3.0) and [pyannote/speaker-diarization-3.1](https://huggingface.co/pyannote/speaker-diarization-3.1) if using `--vad pyannote`. Otherwise stick with the default Silero VAD.