Latest in cs.sd
total 2985took 0.13s
Coarse-to-fine Optimization for Speech EnhancementAug 21 2019In this paper, we propose the coarse-to-fine optimization for the task of speech enhancement. Cosine similarity loss [1] has proven to be an effective metric to measure similarity of speech signals. However, due to the large variance of the enhanced speech ... More A Microphone Array and Voice Algorithm based Smart Hearing AidAug 20 2019Approximately 6.2% of the world's population (466 million people) suffer from disabling hearing impairment [1]. Hearing impairment impacts negatively on one's education, financial success [2][3], cognitive development in childhood [4], including increased ... More Prosodic Phrase Alignment for Machine DubbingAug 20 2019Dubbing is a type of audiovisual translation where dialogues are translated and enacted so that they give the impression that the media is in the target language. It requires a careful alignment of dubbed recordings with the lip movements of performers ... More AI for Earth: Rainforest Conservation by Acoustic SurveillanceAug 20 2019Saving rainforests is a key to halting adverse climate changes. In this paper, we introduce an innovative solution built on acoustic surveillance and machine learning technologies to help rainforest conservation. In particular, We propose new convolutional ... More Fuzzy C-Means Clustering and Sonification of HRV FeaturesAug 19 2019Linear and non-linear measures of heart rate variability (HRV) are widely investigated as non-invasive indicators of health. Stress has a profound impact on heart rate, and different meditation techniques have been found to modulate heartbeat rhythm. ... More Salient Speech Representations Based on Cloned NetworksAug 19 2019We define salient features as features that are shared by signals that are defined as being equivalent by a system designer. The definition allows the designer to contribute qualitative information. We aim to find salient features that are useful as conditioning ... More Audio query-based music source separationAug 19 2019In recent years, music source separation has been one of the most intensively studied research areas in music information retrieval. Improvements in deep learning lead to a big progress in music source separation performance. However, most of the previous ... More Onset detection: A new approach to QBH systemAug 17 2019Query by Humming (QBH) is an system to provide a user with the song(s) which the user hums to the system. Current QBH method requires the extraction of onset and pitch information in order to track similarity with various versions of different songs. ... More JVS corpus: free Japanese multi-speaker voice corpusAug 17 2019Thanks to improvements in machine learning techniques, including deep learning, speech synthesis is becoming a machine learning task. To accelerate speech synthesis research, we are developing Japanese voice corpora reasonably accessible from not only ... More Survey on Deep Neural Networks in Speech and Vision SystemsAug 16 2019This survey presents a review of state-of-the-art deep neural network architectures, algorithms, and systems in vision and speech applications. Recent advances in deep artificial neural network algorithms and architectures have spurred rapid innovation ... More Conditional LSTM-GAN for Melody Generation from LyricsAug 15 2019Melody generation from lyrics has been a challenging research issue in the field of artificial intelligence and music, which enables to learn and discover latent relationship between interesting lyrics and accompanying melody. Unfortunately, the limited ... More IMS-Speech: A Speech to Text ToolAug 13 2019We present the IMS-Speech, a web based tool for German and English speech transcription aiming to facilitate research in various disciplines which require accesses to lexical information in spoken language materials. This tool is based on modern open ... More Emotion Dependent Facial Animation from Affective SpeechAug 11 2019In human-to-computer interaction, facial animation in synchrony with affective speech can deliver more naturalistic conversational agents. In this paper, we present a two-stage deep learning approach for affective speech driven facial shape animation. ... More Universal Adversarial Audio PerturbationsAug 08 2019We demonstrate the existence of universal adversarial perturbations, which can fool a family of audio processing architectures, for both targeted and untargeted attacks. To the best of our knowledge, this is the first study on generating universal adversarial ... More Universal Adversarial Audio PerturbationsAug 08 2019Aug 12 2019We demonstrate the existence of universal adversarial perturbations, which can fool a family of audio processing architectures, for both targeted and untargeted attacks. To the best of our knowledge, this is the first study on generating universal adversarial ... More Understanding Optical Music RecognitionAug 07 2019For over 50 years, researchers have been trying to teach computers to read music notation, referred to as Optical Music Recognition (OMR). However, this field is still difficult to access for new researchers, especially those without a significant musical ... More Understanding Optical Music RecognitionAug 07 2019Aug 14 2019For over 50 years, researchers have been trying to teach computers to read music notation, referred to as Optical Music Recognition (OMR). However, this field is still difficult to access for new researchers, especially those without a significant musical ... More Viterbi Extraction tutorial with Hidden Markov ToolkitAug 07 2019An algorithm used to extract HMM parameters is revisited. Most parts of the extraction process are taken from implemented Hidden Markov Toolkit (HTK) program under name HInit. The algorithm itself shows a few variations compared to another domain of implementations. ... More Practical Speech Recognition with HTKAug 06 2019The practical aspects of developing an Automatic Speech Recognition System (ASR) with HTK are reviewed. Steps are explained concerning hardware, software, libraries, applications and computer programs used. The common procedure to rapidly apply speech ... More LSTM Based Music Generation SystemAug 02 2019Traditionally, music was treated as an analogue signal and was generated manually. In recent years, music is conspicuous to technology which can generate a suite of music automatically without any human intervention. To accomplish this task, we need to ... More SANTLR: Speech Annotation Toolkit for Low Resource LanguagesAug 02 2019While low resource speech recognition has attracted a lot of attention from the speech community, there are a few tools available to facilitate low resource speech collection. In this work, we present SANTLR: Speech Annotation Toolkit for Low Resource ... More Multilingual Speech Recognition with Corpus Relatedness SamplingAug 02 2019Multilingual acoustic models have been successfully applied to low-resource speech recognition. Most existing works have combined many small corpora together and pretrained a multilingual model by sampling from each corpus uniformly. The model is eventually ... More Learning Joint Acoustic-Phonetic Word EmbeddingsAug 01 2019Most speech recognition tasks pertain to mapping words across two modalities: acoustic and orthographic. In this work, we suggest learning encoders that map variable-length, acoustic or phonetic, sequences that represent words into fixed-dimensional vectors ... More Augmenting Music Sheets with Harmonic FingerprintsJul 31 2019Conventional Music Notation (CMN) is the well-established foundation for the written communication of musical information, such as rhythm, harmony, or timbre. However, CMN suffers from the complexity of its visual encoding and the need for extensive training ... More Fast and Robust 3-D Sound Source Localization with DSVD-PHATJul 29 2019This paper introduces a variant of the Singular Value Decomposition with Phase Transform (SVD-PHAT), named Difference SVD-PHAT (DSVD-PHAT), to achieve robust Sound Source Localization (SSL) in noisy conditions. Experiments are performed on a Baxter robot ... More Dilated FCN: Listening Longer to Hear BetterJul 27 2019Deep neural network solutions have emerged as a new and powerful paradigm for speech enhancement (SE). The capabilities to capture long context and extract multi-scale patterns are crucial to design effective SE networks. Such capabilities, however, are ... More On the Use/Misuse of the Term 'Phoneme'Jul 26 2019The term 'phoneme' lies at the heart of speech science and technology, and yet it is not clear that the research community fully appreciates its meaning and implications. In particular, it is suspected that many researchers use the term in a casual sense ... More Cross-Attention End-to-End ASR for Two-Party ConversationsJul 24 2019We present an end-to-end speech recognition model that learns interaction between two speakers based on the turn-changing information. Unlike conventional speech recognition models, our model exploits two speakers' history of conversational-context information ... More Log Complex Color for Visual Pattern Recognition of Total SoundJul 23 2019While traditional audio visualization methods depict amplitude intensities vs. time, such as in a time-frequency spectrogram, and while some may use complex phase information to augment the amplitude representation, such as in a reassigned spectrogram, ... More Multisensory Learning Framework for Robot DrummingJul 23 2019The hype about sensorimotor learning is currently reaching high fever, thanks to the latest advancement in deep learning. In this paper, we present an open-source framework for collecting large-scale, time-synchronised synthetic data from highly disparate ... More On Modeling ASR Word ConfidenceJul 22 2019We present a new method for computing ASR word confidences that effectively mitigates ASR errors for diverse downstream applications, improves the word error rate of the 1-best result, and allows better comparison of scores across different models. We ... More A Deep Neural Network for Short-Segment Speaker RecognitionJul 22 2019Todays interactive devices such as smart-phone assistants and smart speakers often deal with short-duration speech segments. As a result, speaker recognition systems integrated into such devices will be much better suited with models capable of performing ... More Crowdsourcing a Dataset of Audio CaptionsJul 22 2019Audio captioning is a novel field of multi-modal translation and it is the task of creating a textual description of the content of an audio signal (e.g. "people talking in a big room"). The creation of a dataset for this task requires a considerable ... More Sound Search by Text Description or Vocal Imitation?Jul 19 2019Searching sounds by text labels is often difficult, as text descriptions cannot describe the audio content in detail. Query by vocal imitation bridges such gap and provides a novel way to sound search. Several algorithms for sound search by vocal imitation ... More Forward-Backward Decoding for Regularizing End-to-End TTSJul 18 2019Neural end-to-end TTS can generate very high-quality synthesized speech, and even close to human recording within similar domain text. However, it performs unsatisfactory when scaling it to challenging test sets. One concern is that the encoder-decoder ... More