Voice Conversion technology is a new technology

In this paper, we put forward a time-domain female-male voice conversion algorithm. This method mainly focuses on two acoustic features that are thought to be the most important to speech individuality: pitch frequency and formant frequencies. To change pitch frequency, we cut off or add the low amplitude parts of speech signals in one pitch period. To change formants, according to the relationship between zero-cross rate and formants, and basing on the semi-waveform vector database which the former students formed during carrying out a speech waveform encoding algorithm, we use DTW technology to find a semi-waveform vector in the database to substitute the original semi-waveform. Experiments show that this algorithm is feasible. The average pitch frequency ratio of female speech to male speech is about 1.5 and the average formant frequencies ratio of female to male is about 1.2. We also found that the converted male voice is better than the converted female voice.