[GPT-AGI]

Summary

Input:

timestamp_sentence("我 用 iphone pro max", punc [1, 2, 1, 1, 3])
before: ["我用，", " iphone pro max。"]
after:  ["我用，", "iphone pro max。"]

timestamp_sentence inserts a separator before each Latin token, including the
first token of a sentence. Drop that one leading separator using the same check
as timestamp_sentence_en; internal English spaces remain unchanged.

Type of change

• Bug fix
• Documentation
• Example or demo
• Runtime or deployment
• Benchmark or evaluation
• Model/training change

Validation

• python -m pytest -q tests/test_timestamp_tools.py — 9 passed
• python -m compileall -q funasr examples tests
• Docs or links checked
• Runtime/deployment command tested

User impact

sentence_info text no longer starts with a synthetic space when a sentence
starts with a Latin word.

Notes for reviewers

Four before/after controls covered a Latin-starting sentence, Latin text within
Chinese, all-English, and all-Chinese input. Sentence boundaries, timestamps,
punctuation, and raw_text were unchanged.

[LauraGPT]

Reviewed exact head 245ee66ac8faa3413c2d03a964c91718c93cdc15 against its original base 20f26b7c4905d010768ec91206149df2a90104b6.

• Baseline with the new regression fails on the synthetic leading space (' iphone pro max。').
• Exact head: 9/9 timestamp-tool tests pass, covering Latin sentence starts, mixed Chinese/Latin text, all-English/all-Chinese controls, raw text, punctuation, and boundaries.

No exact-head hosted check currently covers this PR, and main has advanced since the tested base. Leaving it open pending current-base revalidation plus hosted coverage. Scope is deterministic CPU text/timestamp postprocessing only; no model, GPU, ASR-quality, or release claim.