Deep Voice 3 Github

It started as a clone of the Weebly site, using the Cayman theme by Jason Long. This list of HTML5 voices depend on the platform and OS, and the devices configuration. 3 Face Recognition:世界上用于Python的最简单的人类识别API。. Ranked 1st out of 509 undergraduates, awarded by the Minister of Science and Future Planning; 2014 Student Outstanding Contribution Award, awarded by the President of UNIST. Microsoft goes open source with one of its Bing algorithms Microsoft's Space Partition Tree and Graph algorithm enables developers to apply vector search to traditional, audio and visual queries. Stream Voice Style Transfer to Kate Winslet with deep neural networks, a playlist by andabi from desktop or your mobile device. Today, I am going to introduce interesting project, which is ‘Multi-Speaker Tacotron in TensorFlow’. Another language. 'Deep Voice' Software Can Clone Anyone's Voice With Just 3. For the past year, we've compared nearly 8,800 open source Machine Learning projects to pick Top 30 (0. •3 key components 1) Objective function 2) Decision variable or unknown 3) Constraints •Procedures 1) The process of identifying objective, variables, and constraints for a given problem (known as "modeling") 2) Once the model has been formulated, optimization algorithm can be used to find its solutions 5. Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller. Steve McQueen and Yul Brynner in "The Magnificent Seven" (1960) The way to reduce a deep learning problem to a few lines of code is to use layers of abstraction, otherwise known as 'frameworks'. 2: We also need a small plastic snake and a big toy frog for the kids. For Baidu’s system on single-speaker data, the average training iteration time (for batch size 4) is 0. A previous blog post examines DIGITS 2. Samples from single speaker and multi-speaker models follow. 5: Of course, once I became a full time musician, I discovered that many of those hard working, dedicated professionals also happened to be miscreant winos. I work with Ferhan Ture on building a large-scale voice search system with deep learning technologies. Deep learning is all the rage right now. You can also set the default AudioPlayer via the command line by defining the "com. She had deep smokey eye makeup, and blood red lipstick. The CSI Tool is built on the Intel Wi-Fi Wireless Link 5300 802. We won't derive all the math that's required, but I will try to give an intuitive explanation of what we are doing. Articles Using Natural Language Processing and Machine/Deep Learning. In ECharts 2. We have developed the same code for three frameworks (well, it is cold in Moscow), choose your favorite: Torch TensorFlow Lasagne. They're also easily configurable in the ESP8266 WiFi settings. Music source separation is a kind of task for separating voice from music such as pop music. A dark soundpack for TeamSpeak 3 featuring a deep pitched down male voice with an artificial touch. Clone a voice in 5 seconds to generate arbitrary speech in real-time Real-Time Voice Cloning. Read more about the updated Google Assistant. 3 The second operating system to feature advanced speech synthesis capabilities was AmigaOS , introduced in 1985. The distinctive property of deep learning is that it studies deep neural networks - neural networks with many. PART III Final Product: "Okay. Deep Voice 3: 2000-Speaker Neural Text-to-Speech. tempogram ([y, sr, onset_envelope, …]): Compute the tempogram: local autocorrelation of the onset strength envelope. To be clear: I am primarily making an aesthetic argument, rather than an argument of fact. We are excited to share with you that the theme for WiSSAP 2019 is - Deep dive into brain and machine perception: Bridging the gap in speech processing. Voice Cloning Experiment II The multi-speaker model and speaker encoder model were trained on LibriSpeech speakers (16 KHz sampling rate), voice cloning was performed on VCTK speakers (downsampled to 16 KHz sampling rate). This novel architecture trains an order of magnitude faster, allowing us to scale over 800 hours of training data and synthesize speech from over 2,400 voices, which is more than any other previously published text-to-speech model. , who also developed the original MacinTalk text-to-speech system. It’ll analyse your voice and calculate your average pitch range. Hi I am interested to convert speech/audio files to text and then apply data science techniques to analyse the data. Streaming support. In my case, I used a base, simple Linux computer with a webcam and wifi access (Raspberry Pi 3 and a cheap webcam), to act a server for my deep learning machine to do inference from. The DeepQA Research Team - overview. Step 2: Clone the Real-Time-Voice-Cloning project and download pretrained models. Today, I am going to introduce interesting project, which is ‘Multi-Speaker Tacotron in TensorFlow’. Software Development News. In contrast to Deep Voice 1 & 2, Deep Voice 3 employs an attention-based sequence-to-sequence model, yielding a more compact architecture. Because we have news for you – even if you aren’t excited about the subtle pleasures of well-instrumented systems, you should be excited about a voice. Then I trained several as-large-as-fits-on-my-GPU 3-layer LSTMs over a period of a few days. We adhere to the highest security industry standards and have daily penetration tests performed on the infrastructure and APIs. How playable would it be?. Directed by Kunihiko Yuyama, Lotte Horlings. A dark soundpack for TeamSpeak 3 featuring a deep pitched down male voice with an artificial touch. Not convinced yet? Here are some samples to show you what we got. Read the latest articles, blogs, news, and events featuring ReadSpeaker and stay up to date with what's happening in the ReadSpeaker text to speech world. To get updates, subscribe to my RSS feed! Please comment below or on the side. Link your customers' Google, Facebook, Twitter, or Github account using Jovo Account Linking with Auth0. Its minimalistic, modular approach makes it a breeze to get deep neural networks up and running. Deep learning for Text2Speech. See these course notes. 4) Applying deep learning algorithms to speech recognition and compare the speech recognition performance with conventional GMM-HMM based speech recognition method. But it still wasn't right. Chinese internet search giant Baidu has developed an AI system that can clone an individual’s voice!. Software Development News. Convolutional neural networks. zip Download. Deep Voice 3: 2000-Speaker Neural Text-to-Speech - Deep Voice 3 teaches machines to speak by imitating thousands of human voices from people across the globe (research. We won't derive all the math that's required, but I will try to give an intuitive explanation of what we are doing. 3) Learn and understand deep learning algorithms, including deep neural networks (DNN), deep belief networks (DBN), and deep auto-encoders (DAE). Played with a few model, deep voice 3 works well and is simple enough to use as long as you dont want to use wavenet as a vocoder, it falls behind tacotron if you do permalink embed. tempogram ([y, sr, onset_envelope, …]): Compute the tempogram: local autocorrelation of the onset strength envelope. Update: An earlier version of this blog incorrectly put the MOS score for the US English 3rd Party Voice as 4. Then take a deep breath and ignore what it says. The module is strongly project-based, with two main phases. One such field that deep learning has a potential to help solving is audio/speech processing, especially due to its unstructured nature and vast impact. We have developed the same code for three frameworks (well, it is cold in Moscow), choose your favorite: Torch TensorFlow Lasagne. A Bot Libre voice is consistent across all platforms. 7 Before talking to executing voice commands, you have to help O'nine localize relative to the map. I was wondering whether it would be possible to make a synth that could play melodies in that heroic voice. If there are other costs (extra employees, etc. Let's learn how to do speech recognition with deep learning! Machine Learning isn't always a Black Box. Today, I am going to introduce interesting project, which is ‘Multi-Speaker Tacotron in TensorFlow’. 3: When the sunlight strikes raindrops in the air they act as a prism and form a rainbow. Deep Voice 3 + WaveNet ParaNet + WaveNet Deep Voice 3 + ClariNet ParaNet + ClariNet Deep Voice 3 + WaveVAE ParaNet + WaveVAE; 1: Ask her to bring these things with her from the store. WebRTC samples. Then, we have learned about stacking these perceptrons together to compose more complex hierarchical models and we learned how to mathematically. Peng-Jun Wan. Optimizing for noisy backgrounds (Thanks to freesound. A dark soundpack for TeamSpeak 3 featuring a deep pitched down male voice with an artificial touch. It describes neural networks as a series of computational steps via a directed graph. CMUSphinx is an open source speech recognition system for mobile and server applications. The event will host invited talks and tutorials by eminent researchers in the field of human speech perception, automatic speech recognition, and deep learning. by Dmitry Ulyanov and Vadim Lebedev We present an extension of texture synthesis and style transfer method of Leon Gatys et al. Deep Voice 3 matches state-of-the-art neural speech synthesis systems in naturalness while training ten times faster. Here, a deep neural net is defined using Net# specification language that was created for this purpose. What someone on the Internet tells me I did it wrong? This voice is an echoed chorus of every criticism we've ever heard. 1 Watching how correlation behaves when there is no correlation Below we randomly sample numbers for two variables, plot them, and show the correlation using a line. Both Caffe and Torch are used by NVIDIA’s DIGITS open-source deep learning software for image classification. You can also set the default AudioPlayer via the command line by defining the "com. Deep learning has revolutionized the way we use our phones, bringing us new applications such as Google Voice and Apple's Siri, which are based on AI models trained using deep learning. Introduction. • Deep learning is applied and deployed in «normal» businesses (non-AI, SME) • It does not need big-, but some data ( effort usually underestimated ) • DL/RL training for new use cases can be tricky ( needs thorough experimentation). arXiv:1710. 3 Di erent features do not contribute equally to the objective function The overall procedure of DSSGD is given as: 1 Each party downloads a subset of global model parameters from the server and updates its local model 2 Updated local model is trained on the private data 3 Subset of gradients are uploaded back to server which updates the global. 08969: Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. If you're simply curious or better if you wanna help, test, or document the next version, feel free to have a look at the issues on GitHub, and get in touch! Some crazy guy willing to work on improving the visuals would be perfect but we'll always find a use for you, be it on testing, or down below the dungeon, tortured with some lava. The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. Directed by Kunihiko Yuyama, Lotte Horlings. Ranked 1st out of 509 undergraduates, awarded by the Minister of Science and Future Planning; 2014 Student Outstanding Contribution Award, awarded by the President of UNIST. By Hrayr Harutyunyan and Hrant Khachatrian. Thanks to Deep Learning, we’re finally cresting that peak. 360Giving supports organisations to publish their grants data in an open, standardised way and helps people to understand and use the data in order to support decision-making and learning across the charitable giving sector. Tags: GitHub, Machine Learning, Matthew Mayo, Open Source, scikit-learn, Top 10 The top 10 machine learning projects on Github include a number of libraries, frameworks, and education resources. Peng-Jun Wan. Wei Ping, Kainan Peng, Andrew Gibiansky, Sercan Arik, Ajay Kannan, Sharan Narang, Jonathan Raiman, John Miller. We are going to use Text-To-Speech (TTS) and Voice Deep Learning technology based on the functions of existing alarm applications. You can also set the default AudioPlayer via the command line by defining the "com. Deep Learning is a new area of Machine Learning research, which has been introduced with the objective of moving Machine Learning closer to one of its original goals: Artificial Intelligence. On average all Deep Voice implementation might be hard for small teams since each paper has at least 8 people devoting fully day time on it. Introduction. December 2015 – Present 3 years 8 months Deliver knowledge on outlined content using creative metrics to drive best practices and escalate student's understanding of deep concepts, methodologies. The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. SD Times news digest: The Linux Foundation reacts to Microsoft's GitHub acquisition, Mozilla's Common Voice project, and Breakthrough Technologies' Loco platform. 3: May I reserve a deck chair, please? 4: But bullies are like termites. I like taking challenges and solving. The average duration of a cloning sample is 3. The large intestine (colon) is inflamed in ulcerative colitis, and this involves the inner lining of the colon. The CLI is usually not enough if you want to use DeepSpeech programmatically. husky (deep, breathy, lusty) inflectionless (without accent) lilting (with constantly changing tone) monotone (with never changing tone) nasal (twanging out the nose) ponticello (see cracking) powerful (clear, loud, carrying) purring (quiet, smooth, almost like a cat's purr) quavering (shaking) rasping (almost a whisper, gravelly, more air than. Recently TopCoder announced a contest to identify the spoken language in audio recordings. Currently, developing task-oriented dialogue systems requires creating multiple components and typically this involves either a large amount of handcrafting, or acquiring labelled datasets and solving a statistical learning problem for each component. It's easy to say, "voice should slide from this frequency to that". Here, a deep neural net is defined using Net# specification language that was created for this purpose. Deep Voice uses Deep Learning for all pieces of the text to speech pipeline. To get updates, subscribe to my RSS feed! Please comment below or on the side. Microsoft goes open source with one of its Bing algorithms Microsoft's Space Partition Tree and Graph algorithm enables developers to apply vector search to traditional, audio and visual queries. You can find the implementation on GitHub. Determining a male or female voice does, indeed, utilize more than a simple measurement of average frequency. My research interests are focused on developing and analyzing machine learning and deep learning algorithms for speech and language applications. Deep voice conversion. deep voice sounds (33) Most recent Oldest Shortest duration Longest duration Any Length 2 sec 2 sec - 5 sec 5 sec - 20 sec 20 sec - 1 min > 1 min All libraries BLASTWAVE FX Airborne Sound 0:04. I then added two more features; saving the transcription as an image, using html2canvas , and saving the transcription as an rtf file, using a Javascript function I wrote. 'Deep Voice' Software Can Clone Anyone's Voice With Just 3. VOICE CONVERSION USING DEEP NEURAL NETWORKS WITH SPEAKER-INDEPENDENT PRE-TRAINING Seyed Hamidreza Mohammadi, Alexander Kain Oregon Health & Science University VOICE CONVERSION PROBLEM Voice Conversion (VC): How to make a source speaker's speech sound like a target speaker VC procedure: Analyze speech and get features (MCEP). Let's learn how to do speech recognition with deep learning! Machine Learning isn't always a Black Box. 3: May I reserve a deck chair, please? 4: But bullies are like termites. Not convinced yet? Here are some samples to show you what we got. With Deep-sleep, our application structure can follow these steps:. This workshop video at NIPS 2016 by Ian Goodfellow (the guy behind the GANs) is also a great resource. facebookresearch/fastText github. If you are writing your own application, you can set the audio player of the FreeTTS Voice to one of the file-based audio players. View On GitHub; Caffe. 16 out of 4. Debugger should support authentication with SourceLink The C# compiler and the debugger currently support a '/SourceLink' which is a technology where the compiler can emit a JSON file telling the debugger how to locate source files. Thanks to Deep Learning, we’re finally cresting that peak. Greater than 7 trillion operations per second (TOPS). by Dmitry Ulyanov and Vadim Lebedev We present an extension of texture synthesis and style transfer method of Leon Gatys et al. Automated Essay Grading A CS109a Final Project by Anmol Gupta, Annie Hwang, Paul Lisker, and Kevin Loughlin View on GitHub Download. But it sounds like that number can be. It has 1 input, 1 output and 8 hidden layers. Deep learning is the thing in machine learning these days. If you use an HTML5 voice, and the browser or platform does not support TTS, then the Bot Libre voice will be used as a fall back. GitHub is the most popular platform for developers across the world to share and collaborate on programming projects together. This past fall, BCN3D Technologies, based out of Barcelona and best-known for its Sigma 3D printer, released the multi-material Sigmax 3D printer at the TCT Show. Greetings! My name is Linlin Chen. I like taking challenges and solving. DEEP SALIENCE REPRESENTATIONS FOR F 0 ESTIMATION IN POLYPHONIC MUSIC Rachel M. Last year Hrayr used convolutional networks to identify spoken language from short audio recordings for a TopCoder contest and got 95% accuracy. See the FreeTTS API documentation for: Voice - describes how to set the AudioPlayer for a voice. Bittner 1, Brian McFee;2, Justin Salamon , Peter Li1, Juan P. Both Caffe and Torch are used by NVIDIA’s DIGITS open-source deep learning software for image classification. The Microsoft Cognitive Toolkit (CNTK) is an open-source toolkit for commercial-grade distributed deep learning. My research interests are focused on developing and analyzing machine learning and deep learning algorithms for speech and language applications. Then I trained several as-large-as-fits-on-my-GPU 3-layer LSTMs over a period of a few days. There are speech recognition libraries like CMU Sphinx - Speech Recognition Toolkit which have bindings for many languages. when you hear Siegward's voice, roll off to land onto a wooden platform. Here's how you can use them : Class names are composed like this : type-color-shade type corresponds to one of the 4 different types (bg, color, fill or stroke) depending on your needs, color corresponds to the color name (red for example), and shade corresponds to number specified in the palette below (500 for example). A standard technique is to use adversarial networks to provide feedback on the quality by comparing the generated material to original sources. Chinese internet search giant Baidu has developed an AI system that can clone an individual’s voice!. Probably Tacotron influence. Chinese internet search giant Baidu has developed an AI system that can clone an individual's voice!. The magic of Shepard tones is that there is no definite bottom note. Deep learning for Text2Speech. GitHub Dark Theme Samples. Research Intern, Microsoft Research Asia, Speech Group (2013. That’s right. 2: We also need a small plastic snake and a big toy frog for the kids. For Baidu’s system on single-speaker data, the average training iteration time (for batch size 4) is 0. Creating A Text Generator Using Recurrent Neural Network 14 minute read Hello guys, it's been another while since my last post, and I hope you're all doing well with your own projects. Mozilla is using open source code, algorithms and the TensorFlow machine learning toolkit to build its STT engine. SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING DEEP RECURRENT NEURAL NETWORKS Po-Sen Huang†, Minje Kim‡, Mark Hasegawa-Johnson†, Paris Smaragdis†‡§ †Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA. If you use an HTML5 voice, and the browser or platform does not support TTS, then the Bot Libre voice will be used as a fall back. ml4a is a collection of free educational resources devoted to machine learning for artists. Now anyone can access the power of deep learning to create new speech-to-text functionality. In ECharts 2. These two topics can overlap a little, but the best way to think about these is that the pitch is the deep or high voice you use. Get more and contemporary language model texts. Convolutional neural networks are particularly hot, achieving state of the art performance on image recognition, text classification, and even drug discovery. Click on the play buttons to hear a sample. The voice-cloning AI now works faster than ever and can swap a speaker's gender or change their accent. Link your customers' Google, Facebook, Twitter, or Github account using Jovo Account Linking with Auth0. SINGING-VOICE SEPARATION FROM MONAURAL RECORDINGS USING DEEP RECURRENT NEURAL NETWORKS Po-Sen Huang†, Minje Kim‡, Mark Hasegawa-Johnson†, Paris Smaragdis†‡§ †Department of Electrical and Computer Engineering, University of Illinois at Urbana-Champaign, USA. It is a speech synthesis deep learning model to generate speech with certain person's voice. Creating A Text Generator Using Recurrent Neural Network 14 minute read Hello guys, it's been another while since my last post, and I hope you're all doing well with your own projects. It is a speech synthesis deep learning model to generate speech with certain person’s voice. Our open source contributions can be viewed on our site and on GitHub. I work on automatic speech recognition, NLP, and machine learning. This first article is an introduction to Deep Learning and could be summarized in 3 key points: First, we have learned about the fundamental building block of Deep Learning which is the Perceptron. More data and bigger networks outperform feature engineering, but they also make it easier to change domains It is a well-worn adage in the deep learning community at this point that a lot of data and a machine learning technique that can exploit that data tends to work better than almost any amount of careful feature engineering [ 5 ]. Details: The more samples Deep Voice hears, the better the results, but just 10 samples of less than five seconds each were enough for it to produce a synthetic voice that could fool a voice. Hogg has been coached by his father, who is a former FBI agent, and he is a pawn for anti-gun campaigners, he is not a victim but a Crisis Actor. CNTK supports many SGD variations that are commonly seen in deep learning literature. The critical analysis and comparison of the proposed deep convolutional neural network (CNN) based approach with the state-of-the-art multimodal fusion methods. The doc provides some quick writing guidelines, and includes great examples of the voice and tone from the app and the doc. 9 minute read. Combining CNN and RNN for spoken language identification 26 Jun 2016. python deep-learning voice-recognition action code in Snips is to place the code in GitHub and pull it from there via Action Type "GitHub". Baidu compared Deep Voice 3 to Tacotron, a recently published attention-based TTS system. Have a look at the tools others are using, and the resources they are learning from. Then, we have learned about stacking these perceptrons together to compose more complex hierarchical models and we learned how to mathematically. Watson is a computer system like no other ever built. Dark (Soundpack) A soundpack with a deep dark male voice. "You…" Azania discovered that the moment she blinked her eyes, he was gone. You can also set the default AudioPlayer via the command line by defining the "com. andabi/deep-voice-conversion Deep neural networks for voice conversion (voice style transfer) in Tensorflow Total stars 2,558 Stars per day 4 Created at 1 year ago Language Python Related Repositories Neural_Network_Voices This is the code for "Neural Network Voices" by Siraj Raval on Youtube voice-vector. Click on the play buttons to hear a sample. Read the latest articles, blogs, news, and events featuring ReadSpeaker and stay up to date with what's happening in the ReadSpeaker text to speech world. Dark (Soundpack) A soundpack with a deep dark male voice. Deep learning and deep listening with Baidu's Deep Speech 2. Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition 12 minute read In this report, I will introduce my work for our Deep Learning final project. Deep Voice 3 Work In Progress. 08969: Efficiently Trainable Text-to-Speech System Based on Deep Convolutional Networks with Guided Attention. For more technical details, please visit the BAIR blog post, or read an early preprint of the locomotion experiment and a more complete description of the algorithm. But, if you need some serious power control, Deep-sleep is the way to go. CMUSphinx is an open source speech recognition system for mobile and server applications. Here’s the human male: And here’s Deep Voice interpreting that voice as a female: It also does accents. The tech giant has launched a free course explaining the machine learning technique that underpins so many of its services. 3: May I reserve a deck chair, please? 4: But bullies are like termites. Deep Voice 3 introduces a completely novel neural network architecture for speech synthesis. I am supervised by Prof. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, where we need to predict the pronounced word from the recorded 1-second audio clips. Large pre-trained neural networks such as BERT have had great recent success in NLP, motivating a growing body of research investigating what aspects of language they are able to learn from unlabeled data. A Bot Libre voice is consistent across all platforms. Apply the most advanced deep-learning neural network algorithms to audio for speech recognition with unparalleled accuracy. Have you noticed that interest in artificial intelligence (AI) has really taken off in the last year or so? A lot of that interest is fueled by deep learning. For now I'm focusing on single speaker synthesis. Understanding Convolution, the core of Convolutional Neural Networks. Research Intern, Microsoft Research Asia, Speech Group (2013. Our project is to finish the Kaggle Tensorflow Speech Recognition Challenge, where we need to predict the pronounced word from the recorded 1-second audio clips. If there are other costs (extra employees, etc. The deep link should take users directly to the content, without any prompts, interstitial pages, or logins. This first article is an introduction to Deep Learning and could be summarized in 3 key points: First, we have learned about the fundamental building block of Deep Learning which is the Perceptron. The average duration of a cloning sample is 3. This feature is not available right now. Deep learning for Text2Speech. Here, a deep neural net is defined using Net# specification language that was created for this purpose. ‘Deep Voice’ Software Can Clone Anyone's Voice With Just 3. Github already has the bills paid by paid GitHub accounts. In speech denoising tasks, spectral subtraction [6] subtracts a short-term noise spectrum estimate to generate the spectrum of a clean speech. Google wants to teach you deep learning — if you're ready that is. This novel architecture trains an order of magnitude faster, allowing us to scale over 800 hours of training data and synthesize speech from over 2,400 voices, which is more than any other previously published text-to-speech model. The module is strongly project-based, with two main phases. Counting the release of Google's TensorFlow, Nervana Systems' Neon, and the planned release of IBM's deep learning platform, this altogether brings the number of major deep learning frameworks to six, when Caffe, Torch, and Theano are included. The average duration of a cloning sample is 3. Deep learning is the thing in machine learning these days. Peng-Jun Wan. Kaggle TensorFlow Speech Recognition Challenge: Training Deep Neural Network for Voice Recognition 12 minute read In this report, I will introduce my work for our Deep Learning final project. Upgrades include a preview of Keras support natively running on Cognitive Toolkit, Java bindings and Spark support for model evaluation, and model compression to increase the speed to evaluating a trained model on CPUs, along with performance improvements making it the fastest deep learning framework. I am supervised by Prof. By Hrayr Harutyunyan. That’s right. 07654: Deep Voice 3: 2000-Speaker Neural Text-to-Speech を読んで、単一話者の場合のモデルを実装しました(複数話者の場合は、今実験中です (deepvoice3_pytorch/#6). International Conference on Learning Representations (ICLR) , 2018. For the example result of the model, it gives voices of three public Korean figures to read random sentences. Deep Voice 3 Github.