Abstract:
A generative adversarial network-based audio signal generation model for generating a high quality audio signal may comprise: a generator generating an audio signal with an external input; a harmonic-percussive separation model separating the generated audio signal into a harmonic component signal and a percussive component signal; and at least one discriminator evaluating whether each of the harmonic component signal and the percussive component signal is real or fake.
Abstract:
Disclosed is a binaural rendering method and apparatus for decoding a multichannel audio signal. The binaural rendering method may include: extracting an early reflection component and a late reverberation component from a binaural filter; generating a stereo audio signal by performing binaural rendering of a multichannel audio signal base on the early reflection component; and applying the late reverberation component to the generated stereo audio signal.
Abstract:
Disclosed are a content identifying method and apparatus, and an audio signal processing apparatus and method for identifying content. The audio signal processing method for registration includes splitting an original audio signal into a lower band signal and a higher band signal; modifying the higher band signal using an metadata associated to the original audio signal; storing a reference lower band fingerprint extracted from the lower band signal, a reference higher band fingerprint extracted from the modified higher band signal, and the associated metadata in database; and generating a reference audio signal synthesized using the lower band signal and the modified higher band signal.
Abstract:
Disclosed is a binaural rendering method and apparatus for decoding a multichannel audio signal. The binaural rendering method may include: extracting an early reflection component and a late reverberation component from a binaural filter; generating a stereo audio signal by performing binaural rendering of a multichannel audio signal base on the early reflection component; and applying the late reverberation component to the generated stereo audio signal.
Abstract:
A complex number quantization-based audio signal encoding method may comprise: estimating a scale factor for each subband of an input audio signal; performing complex magnitude scaling for each subband based on the scale factor; and performing polar quantization on a complex frequency coefficient for each subband, wherein the performing the polar quantization for each subband comprises applying two or more different magnitude quantization techniques based on the magnitude of the complex frequency coefficient scaled for each subband.
Abstract:
An audio signal identification method and apparatus are provided. The audio signal identification method includes generating an amplitude map from an input audio signal, determining whether a portion of the amplitude map is a target portion corresponding to a target signal, using a pre-trained model, extracting feature data from the target portion, and identifying the audio signal based on the feature data.
Abstract:
Disclosed is a method and an apparatus for embedding data in an audio signal based on a time domain, and a method and an apparatus for extracting data from an audio signal based on a time domain. The method for embedding data in an audio signal based on a time domain may include generating a time-domain insertion sequence from original data based on a weighting element, embedding the insertion sequence in a host audio signal, and transmitting the host audio signal in which the insertion sequence is embedded. The method for extracting data from an audio signal based on a time domain may include receiving a time-domain audio signal in which data is embedded, extracting a codeword from the audio signal, and synchronizing the audio signal based on the codeword.
Abstract:
A system and method for synchronizing an audio signal and a video signal are provided. A decoding method in the system may include decoding an audio signal and a video signal received from an encoding apparatus, extracting first unique information of the audio signal from the decoded video signal, generating second unique information of the audio signal based on the decoded audio signal, determining a delay between the audio signal and the video signal by comparing the first unique information to the second unique information, and synchronizing the audio signal and the video signal based on the delay. The first unique information may be generated based on an audio signal that is not encoded by the encoding apparatus, and may be inserted into the video signal.
Abstract:
A method and an apparatus for transmitting a watermark robust to an acoustic channel distortion are disclosed. The method of transmitting the watermark may include extracting a watermark from a first audio signal including the watermark; modifying the extracted watermark based on a state of an acoustic channel; and embedding the modified watermark into the first audio signal to output a second audio signal.
Abstract:
Disclosed is a binaural rendering method and apparatus for decoding a multichannel audio signal. The binaural rendering method may include: extracting an early reflection component and a late reverberation component from a binaural filter; generating a stereo audio signal by performing binaural rendering of a multichannel audio signal base on the early reflection component; and applying the late reverberation component to the generated stereo audio signal.