#!/usr/bin/env python3
"""Check a listening text's speed, length and speakers against a level, and split it into pause points.
Speech rate is words per minute from the transcript and the recording length. Lines starting with "Name:" count
as speaker turns. --segments N splits the recording into N parts at sentence ends with approximate timestamps
(proportional to words), for pause-and-predict or segment-by-segment detail tasks.
Usage:
python transcript_stats.py transcript.txt --duration 2:10 --level B1
python transcript_stats.py transcript.txt --duration 95 --level A2 --segments 3
Exit codes: 0 suitable, 1 too fast or too long for the level, 2 read error or bad duration.
"""
import argparse
import re
import sys
# level: (max comfortable wpm, max length in seconds for one task, plays)
LEVEL = {"A1": (110, 60, 3), "A2": (130, 120, 3), "B1": (150, 180, 2), "B2": (170, 300, 2), "C1": (190, 480, 1),
"C2": (230, 900, 1)}
def seconds(text):
if re.fullmatch(r"\d+(\.\d+)?", text):
return float(text)
m = re.fullmatch(r"(\d+):([0-5]\d)", text)
if not m:
raise ValueError(f"duration '{text}' must be seconds or m:ss")
return int(m.group(1)) * 60 + int(m.group(2))
def mmss(s):
return f"{int(s) // 60}:{int(s) % 60:02d}"
def main():
ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter)
ap.add_argument("transcript", help="text file, or - for stdin")
ap.add_argument("--duration", required=True, help="recording length: seconds or m:ss")
ap.add_argument("--level", type=str.upper, choices=LEVEL, default="B1")
ap.add_argument("--segments", type=int, default=0, help="split into N parts with timestamps")
a = ap.parse_args()
try:
text = (sys.stdin if a.transcript == "-" else open(a.transcript, encoding="utf-8")).read()
dur = seconds(a.duration)
if dur <= 0:
raise ValueError("duration must be positive")
except (OSError, ValueError) as e:
print(f"error: {e}", file=sys.stderr)
return 2
speakers = {m.group(1) for m in re.finditer(r"^\s*([A-Z][\w .'-]{0,20}):", text, re.M)}
body = re.sub(r"^\s*[A-Z][\w .'-]{0,20}:", "", text, flags=re.M)
words = re.findall(r"[A-Za-z0-9][A-Za-z0-9'-]*", body)
if not words:
print("error: transcript has no words", file=sys.stderr)
return 2
wpm = len(words) / (dur / 60)
max_wpm, max_len, plays = LEVEL[a.level]
speed = "slow" if wpm < 120 else "moderate" if wpm < 150 else "natural" if wpm < 180 else "fast"
print(f"{len(words)} words in {mmss(dur)}: {wpm:.0f} wpm ({speed}); speakers: {len(speakers) or 1}"
+ (f" ({', '.join(sorted(speakers))})" if speakers else ""))
print(f"{a.level} guide: up to {max_wpm} wpm, up to {mmss(max_len)} per task, play {plays}x")
problems = []
if wpm > max_wpm:
problems.append(f"speech is {wpm - max_wpm:.0f} wpm faster than the {a.level} guide: pause between segments, "
"grade the task (gist only), or choose a slower recording")
if dur > max_len:
problems.append(f"recording is longer than {mmss(max_len)}: use an extract or split it into segments")
if len(speakers) > 3 and a.level in ("A1", "A2", "B1"):
problems.append(f"{len(speakers)} speakers is a lot for {a.level}: give a speaker list with pictures")
if a.segments > 1:
sentences = [s for s in re.split(r"(?<=[.!?])\s+", body.strip()) if s.strip()]
target, count, t, cuts = len(words) / a.segments, 0, 0.0, []
for s in sentences:
n = len(re.findall(r"[A-Za-z0-9][A-Za-z0-9'-]*", s))
count += n
if count >= target * (len(cuts) + 1) and len(cuts) < a.segments - 1:
cuts.append((count, s.strip()[-40:]))
print("\nPause points:")
for i, (c, tail) in enumerate(cuts, 1):
print(f" {i}. ~{mmss(dur * c / len(words))} after '...{tail}'")
for p in problems:
print(f"ADJUST: {p}")
if not problems:
print("OK for the level")
return 1 if problems else 0
if __name__ == "__main__":
sys.exit(main())
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