Yamaha Corporation

Other

Pompeu Fabra University

Alex Loscos

Yasuo Yoshioka

Jordi Bonada

Takahiro Kawashima

Xavier Serra

Pedro Cano

Mark Schiementz

Takuya Fujishima

Oscar Mayor

Hideki Kenmochi

In a sound effect applying apparatus, an input part frequency-analyzes an input signal of sound or voice for detecting a plurality of local peaks of harmonics contained in the input signal. A subharmonics provision part adds a spectrum component of subharmonics between the detected local peaks so as to provide the input signal with a sound effect. An output part converts the input signal of a frequency domain containing the added spectrum component into an output signal of a time domain for generating the sound or voice provided with the sound effect.

Adding a sound effect to voice or sound by adding subharmonics

Envelope identification section generates input envelope data (DEVin) indicative of a spectral envelope (EVin) of an input voice. Template acquisition section reads out, from a storage section, converting spectrum data (DSPt) indicative of a frequency spectrum (SPt) of a converting voice. On the basis of the input envelope data (DEVin) and the converting spectrum data (DSPt), a data generation section specifies a frequency spectrum (SPnew) corresponding in shape to the frequency spectrum (SPt) of the converting voice and having a substantially same spectral envelope as the spectral envelope (EVin) of the input voice, and the data generation section generates new spectrum data (DSPnew) indicative of the frequency spectrum (SPnew). Reverse FFT section and output processing section generates an output voice signal (Snew) on the basis of the new spectrum data (DSPnew).

Voice processing apparatus and program

A sound signal processing apparatus which is capable of correctly detecting expression modes and expression transitions of a song or performance from an input sound signal. A sound signal produced by performance or singing of musical tones is input and divided into frames of predetermined time periods. Characteristic parameters of the input sound signal are detected on a frame-by-frame basis. An expression determining process is carried out in which a plurality of expression modes of a performance or song are modeled as respective states, the probability that a section including a frame or a plurality of continuous frames lies in a specific state is calculated with respect to a predetermined observed section based on the characteristic parameters, and the optimum route of state transition in the predetermined observed section is determined based on the calculated probabilities so as to determine expression modes of the sound signal and lengths thereof.

Sound signal expression mode determining apparatus method and program

A voice converting apparatus is constructed for converting an input voice into an output voice according to a target voice. The apparatus includes a storage section, an analyzing section including a characteristic analyzer, a producing section, a synthesizing section, a memory, an alignment processor, and target decoder.

Voice converter for assimilation by frame synthesis with temporal alignment

A voice synthesizing apparatus comprises: a storage device that stores a first database storing a first parameter obtained by analyzing a voice and a second database storing a second parameter obtained by analyzing a voice with vibrato; an input device that inputs information for a voice to be synthesized; a generating device that generates a third parameter based on the first parameter read from the first database and the second parameter read from the second database in accordance with the input information; and a synthesizing device that synthesizes the voice in accordance with the third parameter. A very real vibrato effect can be added to a synthesized voice.

Voice synthesizing apparatus capable of adding vibrato effect to synthesized voice

A frequency spectrum is detected by analyzing a frequency of a voice waveform corresponding to a voice synthesis unit formed of a phoneme or a phonemic chain. Local peaks are detected on the frequency spectrum, and spectrum distribution regions including the local peaks are designated. For each spectrum distribution region, amplitude spectrum data representing an amplitude spectrum distribution depending on a frequency axis and phase spectrum data representing a phase spectrum distribution depending on the frequency axis are generated. The amplitude spectrum data is adjusted to move the amplitude spectrum distribution represented by the amplitude spectrum data along the frequency axis based on an input note pitch, and the phase spectrum data is adjusted corresponding to the adjustment. Spectrum intensities are adjusted to be along with a spectrum envelope corresponding to a desired tone color. The adjusted amplitude and phase spectrum data are converted into a synthesized voice signal.

Singing voice synthesizing method

A voice converting apparatus is constructed for converting an input voice into an output voice according to a target voice. In the apparatus, a storage section provisionally stores source data, which is associated to and extracted from the target voice. An analyzing section analyzes the input voice to extract therefrom a series of input data frames representing the input voice. A producing section produces a series of target data frames representing the target voice based on the source data, while aligning the target data frames with the input data frames to secure synchronization between the target data frames and the input data frames. A synthesizing section synthesizes the output voice according to the target data frames and the input data frames.

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Barcelona, Spain

Alex Loscos