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Enhance robustness in post_process_pauserate.py #509

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Enhance robustness in post_process_pauserate.py #509

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11 changes: 9 additions & 2 deletions src/seamless_communication/cli/expressivity/evaluate/post_process_pauserate.py
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Original file line number Diff line number Diff line change
Expand Up @@ -26,12 +26,12 @@ def get_pause(pause_data_tsv: str) -> Dict[str, float]:
"wmean_joint_score",
]:
metrics[score_name] = (
utt_pause_align_data[f"{score_name}"] * pause_duration_weight
utt_pause_align_data[f"{score_name}"].fillna(0) * pause_duration_weight
).sum()
return metrics


def get_rate(target_speech_tsv: str, source_speech_tsv: str) -> float:
def get_rate(target_speech_tsv: str, source_speech_tsv: str) -> float {
speech_unit = "syllable"

target_speech_df = pd.read_csv(
Expand All @@ -44,5 +44,12 @@ def get_rate(target_speech_tsv: str, source_speech_tsv: str) -> float:
# using "syllable" speech unit for rate computation
src_speech_rate = source_speech_df[f"speech_rate_{speech_unit}"].to_numpy()
tgt_speech_rate = target_speech_df[f"speech_rate_{speech_unit}"].to_numpy()

# Handle missing or NaN values to avoid crashing
src_speech_rate = src_speech_rate[~pd.isnull(src_speech_rate)]
tgt_speech_rate = tgt_speech_rate[~pd.isnull(tgt_speech_rate)]

src_tgt_spearman = scipy.stats.spearmanr(src_speech_rate, tgt_speech_rate)
return src_tgt_spearman.correlation # type: ignore[no-any-return]
}