This paper proposes a new algorithm for retrieving sound based on successive relative search. In retrieving musical sound focusing on its sound features, emotional representations are more appropriate than conventional keywords of the genre or the composer. A vector-based sound retrieval system "Sound Advisor" was built up using emotional parameters. The problem is how to find a better candidate, if the first candidate is not satisfactory. The reason is that it is difficult to quantitatively image the emotional vector space of sounds. This paper proposes a method for successively retrieving sounds using relative search regarding the found candidate as the reference base. This method can contribute to sound-effect retrieval for producing movies, and emotional communication via sound.