Abstract: A sequence is received of time domain digital audio samples representing sound (e.g., a sound generated by a human voice or a musical instrument). The time domain digital audio samples are processed to derive a corresponding sequence of audio pulses in the time domain. Each of the audio pulses is associated with a characteristic frequency. Frequency domain information is derived about each of at least some of the audio pulses. The sound represented by the time domain digital audio samples is transformed by processing the audio pulses using the frequency domain information. The sound transformation utilizes overlapping windows and a computational cost function which depends on a product of the number of the pitch periods and the inverse of the minimum fundamental frequency within the window is determined.

Abstract: An audio recording is processed and evaluated. A sequence of identified notes corresponding to the audio recording is determined by iteratively identifying potential notes within the audio recording. A rating for the audio recording is determined using a tuning rating and an expression rating. The audio recording includes a recording of at least a portion of a musical composition.

Abstract: An audio recording is processed and evaluated. A sequence of identified notes corresponding to the audio recording is determined by iteratively identifying potential notes within the audio recording. A rating for the audio recording is determined using a tuning rating and an expression rating. The audio recording includes a recording of at least a portion of a musical composition.

Abstract: An audio recording is processed and evaluated. A sequence of identified notes corresponding to the audio recording is determined by iteratively identifying potential notes within the audio recording. A rating for the audio recording is determined using a tuning rating and an expression rating. The audio recording includes a recording of at least a portion of a musical composition.

Abstract: A sequence is received of time domain digital audio samples representing sound (e.g., a sound generated by a human voice or a musical instrument). The time domain digital audio samples are processed to derive a corresponding sequence of audio pulses in the time domain. Each of the audio pulses is associated with a characteristic frequency. Frequency domain information is derived about each of at least some of the audio pulses. The sound represented by the time domain digital audio samples is transformed by processing the audio pulses using the frequency domain information.

Abstract: A voice synthesizing apparatus comprises: a memory that stores phoneme pieces having a plurality of different pitches for each phoneme represented by a same phoneme symbol; a reading device that reads a phoneme piece by using a pitch as an index; and a voice synthesizer that synthesizes a voice in accordance with the read phoneme piece.

Abstract: A voice analyzing apparatus comprises: a first analyzer that analyzes a voice into harmonic components and inharmonic components: a second analyzer that analyzes a magnitude spectrum envelope of the harmonic components into a magnitude spectrum envelope of a vocal cord vibration waveform, resonances and a spectrum envelope of a difference of the magnitude spectrum envelope of the harmonic components from a sum of the magnitude spectrum envelope of the vocal cord vibration waveform and the resonances; and a memory that stores the inharmonic components, the magnitude spectrum envelope of the vocal cord vibration waveform, resonances and the spectrum envelope of the difference.

Abstract: A voice synthesizing apparatus comprises: a memory that stores phoneme pieces having a plurality of different pitches for each phoneme represented by a same phoneme symbol; a reading device that reads a phoneme piece by using a pitch as an index; and a voice synthesizer that synthesizes a voice in accordance with the read phoneme piece.