osobhandClaude Opus 4.7
b7b267b701
Original picker used min(WER), tie-broken by max(cosine). Fragile:
on emotion=surprised it picked "You can." (2 words, WER 0.93) over
"...Today I want to share something" (13 words, WER 1.00) because
WER weights all errors uniformly — terse-and-mostly-wrong beats
long-and-mostly-right.
New scoring:
score = WER + (1.0 if words(transcript) < 5 else 0)
sort_by(score, -cosine)
Verified on existing benches:
surprised: now picks seed=100 ("...Today I want to share something
with...", 13 words, score 1.0) over seed=7 ("You can.",
2 words, score 1.929 with +1 length penalty).
calm: still picks seed=100 (full transcript revealed: "It's a
good reflection. Not that that. I want to share
something with you that I've been thinking about." —
near-verbatim! the earlier 55-char display had been
truncating it).
disgust: all 3 candidates score ~1.93 (no seed has > 5 words,
all get the length penalty); picker honestly admits
none is good rather than picking a fake winner.
Worth noting: the calm seed=100 case is ANOTHER near-verbatim
single-shot result we missed in the previous bench because the
display truncation hid the full transcript content.
Co-Authored-By: Claude Opus 4.7 (1M context) <[email protected]>
175 lines
6.1 KiB
Bash
Executable File
175 lines
6.1 KiB
Bash
Executable File
#!/usr/bin/env bash
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# Roll N seeds through `emotional_speech.sh`, score each with
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# `examples/quality_eval`, copy the lowest-WER output to --out.
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#
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# Why: Sprint 2 reproducibility bench (2026-04-29) showed the recipe
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# has high seed variance for text content fidelity. Same prompt
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# rendered "Today, today I want to share..." (WER 0.71) at seed 7
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# and "The police are, if you're..." (WER 2.0) at seed 42. Speaker
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# cosine is consistently elevated across seeds (the steering shifts
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# voice character reliably), but content is roll-the-dice. This
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# wrapper rolls the dice multiple times automatically and picks the
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# winner.
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#
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# Cost: N × the single-shot cost. Defaults to 5 seeds. Lower N if
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# the recipe is reliable for your prompt category; raise if you need
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# the cleanest possible output.
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#
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# Usage:
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# scripts/emotional_speech_n.sh \
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# --text "..." \
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# --context-wav <ref>.wav --context-text "..." \
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# --emotion happy --steering-dir /tmp/ravdess_steering \
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# --out /tmp/best.wav \
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# [--seeds 42,7,100,123,256]
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# [--wavlm-sv /tmp/wavlm_sv.safetensors]
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# [--keep-all] # keep all candidates in <out_dir>/candidates/
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# [other flags pass through to emotional_speech.sh]
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set -euo pipefail
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TEXT=""
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CTX_WAV=""
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CTX_TEXT=""
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EMOTION=""
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STEERING_DIR=""
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OUT=""
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SEEDS="42,7,100,123,256"
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WAVLM_SV="/tmp/wavlm_sv.safetensors"
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KEEP_ALL=false
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PASSTHROUGH=()
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while [[ $# -gt 0 ]]; do
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case "$1" in
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--text) TEXT="$2"; shift 2 ;;
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--context-wav) CTX_WAV="$2"; shift 2 ;;
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--context-text) CTX_TEXT="$2"; shift 2 ;;
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--emotion) EMOTION="$2"; shift 2 ;;
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--steering-dir) STEERING_DIR="$2"; shift 2 ;;
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--out) OUT="$2"; shift 2 ;;
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--seeds) SEEDS="$2"; shift 2 ;;
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--wavlm-sv) WAVLM_SV="$2"; shift 2 ;;
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--keep-all) KEEP_ALL=true; shift 1 ;;
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-h|--help) sed -n '2,30p' "$0"; exit 0 ;;
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# Pass any unknown flags through to emotional_speech.sh
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*) PASSTHROUGH+=("$1"); shift 1 ;;
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esac
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done
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for v in TEXT CTX_WAV CTX_TEXT EMOTION STEERING_DIR OUT; do
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if [[ -z "${!v}" ]]; then
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echo "error: --${v,,} unset" 2>/dev/null || true
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echo "usage: $0 --text T --context-wav W --context-text C --emotion E --steering-dir D --out O [--seeds 42,7,100]" >&2
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exit 1
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fi
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done
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if [[ ! -f "$WAVLM_SV" ]]; then
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echo "wavlm-sv not found: $WAVLM_SV" >&2; exit 1
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fi
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SCRIPT_DIR="$(cd "$(dirname "$0")" && pwd)"
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WORKSPACE_DIR="$(cd "$SCRIPT_DIR/../../../.." && pwd)"
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EVAL_BIN="$WORKSPACE_DIR/target/release/examples/quality_eval"
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EMO_SCRIPT="$SCRIPT_DIR/emotional_speech.sh"
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for f in "$EVAL_BIN" "$EMO_SCRIPT"; do
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if [[ ! -x "$f" ]]; then
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echo "missing: $f" >&2
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exit 1
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fi
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done
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# Working directory derived from --out path.
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OUT_DIR="$(dirname "$OUT")"
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mkdir -p "$OUT_DIR"
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CAND_DIR="$OUT_DIR/candidates_$(date +%s%N)"
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mkdir -p "$CAND_DIR"
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trap '[[ "$KEEP_ALL" == false ]] && rm -rf "$CAND_DIR"' EXIT
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# Comma-split seeds into an array.
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IFS=',' read -ra SEED_ARR <<< "$SEEDS"
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echo "→ rolling ${#SEED_ARR[@]} seeds for emotion='$EMOTION' on:"
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echo " \"$(echo "$TEXT" | head -c 70)...\""
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# Generate one candidate per seed.
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PAIRS_FILE="$CAND_DIR/eval_pairs.jsonl"
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: > "$PAIRS_FILE"
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for seed in "${SEED_ARR[@]}"; do
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candidate="$CAND_DIR/seed_${seed}.wav"
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"$EMO_SCRIPT" \
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--text "$TEXT" \
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--context-wav "$CTX_WAV" --context-text "$CTX_TEXT" \
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--emotion "$EMOTION" --steering-dir "$STEERING_DIR" \
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--seed "$seed" \
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--out "$candidate" \
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${PASSTHROUGH[@]+"${PASSTHROUGH[@]}"} 2>&1 | grep -E "recipe|generated" | sed "s/^/ [seed=$seed] /" || true
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# Skip rows for outputs that didn't exist (e.g. rare crashes).
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if [[ -f "$candidate" ]]; then
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jq -nc --arg ref "$CTX_WAV" --arg gen "$candidate" \
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--arg t "$TEXT" --arg s "$seed" \
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'{ref_wav: $ref, gen_wav: $gen, ref_text: $t, seed: $s}' >> "$PAIRS_FILE"
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fi
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done
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# Score everything in one quality_eval pass (reuses model load).
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SCORES_FILE="$CAND_DIR/scores.jsonl"
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"$EVAL_BIN" \
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--in "$PAIRS_FILE" \
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--out "$SCORES_FILE" \
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--wavlm-sv "$WAVLM_SV" 2>&1 | tail -3
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echo
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echo "=== candidates (composite score: WER + length floor) ==="
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# Composite score per candidate:
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# score = WER + length_penalty
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# where length_penalty = 1.0 when transcript has < MIN_WORDS words
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# (sinks ultra-short outputs that game raw-WER by being terse).
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# Originally we used min(WER) tie-broken by max(cosine), but that
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# preferred "You can." (3 words, WER 0.93) over "...Today I want to
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# share something" (8+ words, WER 1.00) on emotion=surprised.
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# Length floor inverts that ranking.
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MIN_WORDS=5
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jq -r --argjson minw "$MIN_WORDS" '
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. as $r |
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($r.metrics.transcript // "" | split(" ") | map(select(length>0)) | length) as $words |
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[
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$r.seed,
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((.metrics.speaker_cosine // -1) * 1000 | round / 1000),
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((.metrics.wer // 99) * 1000 | round / 1000),
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$words,
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(if $words < $minw then "+L" else "" end),
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((.metrics.transcript // "(no transcript)")[0:55])
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] | @tsv
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' "$SCORES_FILE" \
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| awk -F'\t' -v minw="$MIN_WORDS" '
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BEGIN{ printf "%-6s %-7s %-7s %-7s %-3s %s\n","seed","cos","WER","words","pen","transcript" }
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{ score = ($3 + 0) + (($4 < minw) ? 1.0 : 0.0)
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printf "%-6s %-7s %-7s %-7s %-3s %s [score=%.3f]\n",$1,$2,$3,$4,$5,$6,score
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}
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' | sort -t '=' -k2,2g
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# Pick winner via jq -s with the same composite formula.
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WINNER_JQ='
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map(. + {
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_words: ((.metrics.transcript // "") | split(" ") | map(select(length>0)) | length),
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_cos: (.metrics.speaker_cosine // -1)
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})
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| map(. + { _score: ((.metrics.wer // 99) + (if ._words < 5 then 1.0 else 0.0 end)) })
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| sort_by(._score, -._cos)
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| .[0]
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'
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WINNER_PATH=$(jq -s "$WINNER_JQ"' | .gen_wav' "$SCORES_FILE" | tr -d '"')
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WINNER_SEED=$(jq -s "$WINNER_JQ"' | .seed' "$SCORES_FILE" | tr -d '"')
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if [[ -z "$WINNER_PATH" || ! -f "$WINNER_PATH" ]]; then
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echo "error: no candidate to copy as winner" >&2
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exit 2
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fi
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cp "$WINNER_PATH" "$OUT"
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echo
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echo "✓ winner seed=$WINNER_SEED → $OUT"
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if [[ "$KEEP_ALL" == true ]]; then
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echo " all candidates kept in $CAND_DIR/"
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fi
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