This study presents an (s, t, n) progressive scheme for sharing a secret audio. In an (s, t, n) progressive audio sharing scheme, n shared audios are generated from the secret audio, gathering s shared audios acquires coarse resolution of the secret audio, and using t shared audios reconstructs the original secret audio losslessly. The Chinese Remainder Theorem is adopted in the proposed scheme to share filter results acquired from a 1-D integer wavelet transform with different thresholds for satisfying the progressive property. First, the maximum wavelet layer number needed in a 1-D integer wavelet transform is determined from thresholds s and t. Then, the proposed scheme applies the secret audio to a 1-D integer wavelet transform for acquiring filter results under different layers. Lastly, all wavelet coefficients are partitioned to (t-s+1) groups and share each group with different thresholds. The experimental results demonstrate that the proposed scheme can share secret audios efficiently and progressively.