A method for matching audio clips, performed by a computer device, wherein the method for matching audio clips is performed based on an improved dynamic time warping algorithm, and the method comprises: obtaining a first feature sequence corresponding to a first audio clip and a second feature sequence corresponding to a second audio clip; constructing a distance matrix between the first feature sequence and the second feature sequence, elements in the distance matrix representing respective distances between first positions in the first feature sequence and second positions in the second feature sequence; determining a first accumulation distance between a start position and a target position in the distance matrix and a second accumulation distance between an end position and the target position in the distance matrix; determining a minimum distance between the first feature sequence and the second feature sequence based on the first accumulation distance and the second accumulation distance; characterized in that, the first audio clip corresponds to a plurality of n first feature sequences, and the second audio clip corresponds to a plurality of n second feature sequences, n being a positive integer; and in that method further comprises: obtaining n minimum distances between the n first feature sequences and the n second feature sequences; performing a weighted summation on the n minimum distances to obtain a weighted distance value between the first audio clip and the second audio clip; and determining the degree of matching between the first audio clip and the second audio clip according to the weighted distance value. obtaining a first feature sequence corresponding to a first audio clip and a second feature sequence corresponding to a second audio clip; constructing a distance matrix between the first feature sequence and the second feature sequence, elements in the distance matrix representing respective distances between first positions in the first feature sequence and second positions in the second feature sequence; determining a first accumulation distance between a start position and a target position in the distance matrix and a second accumulation distance between an end position and the target position in the distance matrix; determining a minimum distance between the first feature sequence and the second feature sequence based on the first accumulation distance and the second accumulation distance; characterized in that, the first audio clip corresponds to a plurality of n first feature sequences, and the second audio clip corresponds to a plurality of n second feature sequences, n being a positive integer; and in that method further comprises: obtaining n minimum distances between the n first feature sequences and the n second feature sequences; performing a weighted summation on the n minimum distances to obtain a weighted distance value between the first audio clip and the second audio clip; and determining the degree of matching between the first audio clip and the second audio clip according to the weighted distance value. obtaining n minimum distances between the n first feature sequences and the n second feature sequences; performing a weighted summation on the n minimum distances to obtain a weighted distance value between the first audio clip and the second audio clip; and determining the degree of matching between the first audio clip and the second audio clip according to the weighted distance value.