Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines

نویسندگان
چکیده

برای دانلود رایگان متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Voice Conversion Based on Speaker-Dependent Restricted Boltzmann Machines

This paper presents a voice conversion technique using speaker-dependent Restricted Boltzmann Machines (RBM) to build highorder eigen spaces of source/target speakers, where it is easier to convert the source speech to the target speech than in the traditional cepstrum space. We build a deep conversion architecture that concatenates the two speakerdependent RBMs with neural networks, expecting ...

متن کامل

Voice conversion using speaker-dependent conditional restricted Boltzmann machine

This paper presents a voice conversion (VC) method that utilizes conditional restricted Boltzmann machines (CRBMs) for each speaker to obtain high-order speaker-independent spaces where voice features are converted more easily than those in an original acoustic feature space. The CRBM is expected to automatically discover common features lurking in time-series data. When we train two CRBMs for ...

متن کامل

High-order sequence modeling using speaker-dependent recurrent temporal restricted boltzmann machines for voice conversion

This paper presents a voice conversion (VC) method that utilizes recently proposed recurrent temporal restricted Boltzmann machines (RTRBMs) for each speaker, with the goal of capturing high-order temporal dependencies in an acoustic sequence. Our algorithm starts from the separate training of two RTRBMs for a source and target speaker using speaker-dependent training data. Since each RTRBM att...

متن کامل

Temperature based Restricted Boltzmann Machines

Restricted Boltzmann machines (RBMs), which apply graphical models to learning probability distribution over a set of inputs, have attracted much attention recently since being proposed as building blocks of multi-layer learning systems called deep belief networks (DBNs). Note that temperature is a key factor of the Boltzmann distribution that RBMs originate from. However, none of existing sche...

متن کامل

Joint spectral distribution modeling using restricted boltzmann machines for voice conversion

This paper presents a new spectral modeling and conversion method for voice conversion. In contrast to the conventional Gaussian mixture model (GMM) based methods, we use restricted Boltzmann machines (RBMs) as probability density models to model the joint distributions of source and target spectral features. The Gaussian distribution in each mixture of GMM is replaced by an RBM, which can bett...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

ژورنال

عنوان ژورنال: IEICE Transactions on Information and Systems

سال: 2014

ISSN: 0916-8532,1745-1361

DOI: 10.1587/transinf.e97.d.1403