A method and an apparatus of extracting voiceprint information based on neural network are disclosed. The method includes: extracting a phonetic acoustic feature from an input voice segment; inputting the phonetic acoustic feature into a voiceprint model trained based on a neural network, and extracting a bottleneck feature of the neural network in the voiceprint model; and mapping frame vectors of the bottleneck feature of the neural network into a single-frame voiceprint expression vector, which serves as voiceprint information corresponding to the input voice segment. The neural network-based voiceprint information extraction method and apparatus extract voiceprint information of a voice segment using a voiceprint model trained based on a neural network, and thus the extraction process is relatively simple, and a short-time voice segment can be processed in a better manner.