funasr_detach/metrics/compute_wer.py

import os
import numpy as np
import sys


def compute_wer(ref_file, hyp_file, cer_detail_file):
    rst = {
        "Wrd": 0,
        "Corr": 0,
        "Ins": 0,
        "Del": 0,
        "Sub": 0,
        "Snt": 0,
        "Err": 0.0,
        "S.Err": 0.0,
        "wrong_words": 0,
        "wrong_sentences": 0,
    }

    hyp_dict = {}
    ref_dict = {}
    with open(hyp_file, "r") as hyp_reader:
        for line in hyp_reader:
            key = line.strip().split()[0]
            value = line.strip().split()[1:]
            hyp_dict[key] = value
    with open(ref_file, "r") as ref_reader:
        for line in ref_reader:
            key = line.strip().split()[0]
            value = line.strip().split()[1:]
            ref_dict[key] = value

    cer_detail_writer = open(cer_detail_file, "w")
    for hyp_key in hyp_dict:
        if hyp_key in ref_dict:
            out_item = compute_wer_by_line(hyp_dict[hyp_key], ref_dict[hyp_key])
            rst["Wrd"] += out_item["nwords"]
            rst["Corr"] += out_item["cor"]
            rst["wrong_words"] += out_item["wrong"]
            rst["Ins"] += out_item["ins"]
            rst["Del"] += out_item["del"]
            rst["Sub"] += out_item["sub"]
            rst["Snt"] += 1
            if out_item["wrong"] > 0:
                rst["wrong_sentences"] += 1
            cer_detail_writer.write(hyp_key + print_cer_detail(out_item) + "\n")
            cer_detail_writer.write(
                "ref:"
                + "\t"
                + " ".join(list(map(lambda x: x.lower(), ref_dict[hyp_key])))
                + "\n"
            )
            cer_detail_writer.write(
                "hyp:"
                + "\t"
                + " ".join(list(map(lambda x: x.lower(), hyp_dict[hyp_key])))
                + "\n"
            )

    if rst["Wrd"] > 0:
        rst["Err"] = round(rst["wrong_words"] * 100 / rst["Wrd"], 2)
    if rst["Snt"] > 0:
        rst["S.Err"] = round(rst["wrong_sentences"] * 100 / rst["Snt"], 2)

    cer_detail_writer.write("\n")
    cer_detail_writer.write(
        "%WER "
        + str(rst["Err"])
        + " [ "
        + str(rst["wrong_words"])
        + " / "
        + str(rst["Wrd"])
        + ", "
        + str(rst["Ins"])
        + " ins, "
        + str(rst["Del"])
        + " del, "
        + str(rst["Sub"])
        + " sub ]"
        + "\n"
    )
    cer_detail_writer.write(
        "%SER "
        + str(rst["S.Err"])
        + " [ "
        + str(rst["wrong_sentences"])
        + " / "
        + str(rst["Snt"])
        + " ]"
        + "\n"
    )
    cer_detail_writer.write(
        "Scored "
        + str(len(hyp_dict))
        + " sentences, "
        + str(len(hyp_dict) - rst["Snt"])
        + " not present in hyp."
        + "\n"
    )


def compute_wer_by_line(hyp, ref):
    hyp = list(map(lambda x: x.lower(), hyp))
    ref = list(map(lambda x: x.lower(), ref))

    len_hyp = len(hyp)
    len_ref = len(ref)

    cost_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int16)

    ops_matrix = np.zeros((len_hyp + 1, len_ref + 1), dtype=np.int8)

    for i in range(len_hyp + 1):
        cost_matrix[i][0] = i
    for j in range(len_ref + 1):
        cost_matrix[0][j] = j

    for i in range(1, len_hyp + 1):
        for j in range(1, len_ref + 1):
            if hyp[i - 1] == ref[j - 1]:
                cost_matrix[i][j] = cost_matrix[i - 1][j - 1]
            else:
                substitution = cost_matrix[i - 1][j - 1] + 1
                insertion = cost_matrix[i - 1][j] + 1
                deletion = cost_matrix[i][j - 1] + 1

                compare_val = [substitution, insertion, deletion]

                min_val = min(compare_val)
                operation_idx = compare_val.index(min_val) + 1
                cost_matrix[i][j] = min_val
                ops_matrix[i][j] = operation_idx

    match_idx = []
    i = len_hyp
    j = len_ref
    rst = {"nwords": len_ref, "cor": 0, "wrong": 0, "ins": 0, "del": 0, "sub": 0}
    while i >= 0 or j >= 0:
        i_idx = max(0, i)
        j_idx = max(0, j)

        if ops_matrix[i_idx][j_idx] == 0:  # correct
            if i - 1 >= 0 and j - 1 >= 0:
                match_idx.append((j - 1, i - 1))
                rst["cor"] += 1

            i -= 1
            j -= 1

        elif ops_matrix[i_idx][j_idx] == 2:  # insert
            i -= 1
            rst["ins"] += 1

        elif ops_matrix[i_idx][j_idx] == 3:  # delete
            j -= 1
            rst["del"] += 1

        elif ops_matrix[i_idx][j_idx] == 1:  # substitute
            i -= 1
            j -= 1
            rst["sub"] += 1

        if i < 0 and j >= 0:
            rst["del"] += 1
        elif j < 0 and i >= 0:
            rst["ins"] += 1

    match_idx.reverse()
    wrong_cnt = cost_matrix[len_hyp][len_ref]
    rst["wrong"] = wrong_cnt

    return rst


def print_cer_detail(rst):
    return (
        "("
        + "nwords="
        + str(rst["nwords"])
        + ",cor="
        + str(rst["cor"])
        + ",ins="
        + str(rst["ins"])
        + ",del="
        + str(rst["del"])
        + ",sub="
        + str(rst["sub"])
        + ") corr:"
        + "{:.2%}".format(rst["cor"] / rst["nwords"])
        + ",cer:"
        + "{:.2%}".format(rst["wrong"] / rst["nwords"])
    )


if __name__ == "__main__":
    if len(sys.argv) != 4:
        print("usage : python compute-wer.py test.ref test.hyp test.wer")
        sys.exit(0)

    ref_file = sys.argv[1]
    hyp_file = sys.argv[2]
    cer_detail_file = sys.argv[3]
    compute_wer(ref_file, hyp_file, cer_detail_file)