compute_statistics.py

import json

def get_sample():
    with open("bg3.ndjson", "r") as bg3_f:
        for line in bg3_f:
            yield json.loads(line.strip())

def main():
    speaker_stats = {}
    total_duration = 0.0
    total_num_samples = 0
    for metadata in get_sample():
        total_num_samples+=1
        duration = metadata["duration"]
        total_duration += duration
        spk_id = metadata["spk_id"]
        if spk_id not in speaker_stats.keys():
            speaker_stats[spk_id] = dict(num_samples=0, total_duration=0)
        speaker_stats[spk_id]["num_samples"] += 1
        speaker_stats[spk_id]["total_duration"] += duration

    for spk_id in speaker_stats.keys():
        speaker_stats[spk_id]["mean_duration"] = speaker_stats[spk_id]["total_duration"]/speaker_stats[spk_id]["num_samples"]

    speaker_stats["global"] = dict(
        num_samples=total_num_samples, 
        total_duration=total_duration, 
        mean_duration=total_duration/len(speaker_stats)
    )

    print(json.dumps(speaker_stats, indent=2))


if __name__=="__main__":
    main()