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README.md

@@ -76,7 +76,7 @@ runs in real time on CPU); also usable for ASR data augmentation and TTS researc
 
 **Teacher.** All audio was generated with [OmniVoice](https://github.com/k2-fsa/OmniVoice)
 (`k2-fsa/OmniVoice`, commit `c5fdb5cc`, package built from git on 2026-10-15; 32 decoding steps,
-guidance 2.0, fp16) on two NVIDIA L40s. OmniVoice's code is Apache-2.0; its **weights are CC-BY-NC**
+guidance 2.0, fp16). OmniVoice's code is Apache-2.0; its **weights are CC-BY-NC**
 (the authors cite training-data constraints such as Emilia) and it bundles Boson's Higgs Audio V2
 tokenizer under the Boson community license. We state this provenance so that downstream users can
 make their own assessment; see "License" below.
@@ -87,12 +87,12 @@ make their own assessment; see "License" below.
   no clipping, then de-duplicated with WavLM x-vectors (cosine < 0.96, calibrated on real speakers) and
   balanced by pitch. Each kept clip is then used as the cloning prompt, so every bank voice is
   consistent across hundreds of sentences. Prompts are published in `voices.jsonl`.
-- `clone_named` (77 h): eight default voices with a reserved share. **Maider** (16.4 h) and
+- `clone_named` (77 h): eight named voices with a reserved share. **Maider** (16.4 h) and
   **Antton** (14.5 h) are the professional speakers of the
   [HiTZ-Aholab studio corpus](https://zenodo.org/records/17952596) (CC BY 4.0), cloned from a 5–7 s
   studio clip; **Nahia, Ane, Mikel, Jon, Unai, Aitor** (7–8 h each) are synthetic voices chosen by
   listening among 84 voice-design candidates. The named voices were given extra hours on purpose so
-  that a student model reproduces them reliably as presets.
+  that models trained on the data reproduce them reliably.
 - `clone_real` (126 h): clones of 54 real speakers who recorded for TTS: the 52 volunteers of
   [OpenSLR 76](https://www.openslr.org/76/) (CC BY-SA 4.0) and the two HiTZ-Aholab speakers.
   **No Common Voice contributor was cloned.**
@@ -154,8 +154,8 @@ voice, the usual TTS preset condition). The plan is deterministic (`splits.json`
 | `teacher`, `num_step`, `guidance`, `status` | generation parameters; `keep` |
 
 Extra files: `voices.jsonl` (bank voices and prompts), `splits.json` (split sizes and the held-out
-voice plan), `pocket_tts_manifest-{train,dev,test}-vm{1,2}.jsonl` (path, duration, transcript
-manifests used for Pocket TTS training; the data was produced on two machines, hence two files per split).
+voice plan), `manifest-{train,dev,test}-{a,b}.jsonl` (file name, duration, transcript; the data was
+produced in two batches, `a` and `b`, hence two parquet series and two manifests per split).
 
 ## Known limitations