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Generative Audio
Generative audio refers to the creation of audio files from databases of audio clips. This technology differs from synthesized voices such as Apple's Siri or Amazon's Alexa, which use a collection of fragments that are stitched together on demand. Generative audio works by using neural networks to learn the statistical properties of an audio source, then reproduces those properties. Implications With this technology, a person's voice can be replicated to speak phrases that they may have never spoken. This could lead to a synthetic version of a public figure's voice being used against them. Technology Modern generative audio systems employ various deep learning architectures. One notable approach uses generative adversarial networks (GANs), where two machine learning models work against each other to create realistic audio. Other architectures include WaveNet, which uses dilated causal convolutions to model raw audio waveforms, and implementations like 15.ai, which demon ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Audio Curves Graph
Audio most commonly refers to sound, as it is transmitted in signal form. It may also refer to: Sound *Audio signal, an electrical representation of sound *Audio frequency, a frequency in the audio spectrum *Digital audio, representation of sound in a form processed and/or stored by computers or digital electronics *Audio, audible content (media) in audio production and publishing * Semantic audio, extraction of symbols or meaning from audio * Stereophonic audio, method of sound reproduction that creates an illusion of multi-directional audible perspective *Audio equipment Entertainment *AUDIO (group), an American R&B band of 5 brothers formerly known as TNT Boyz and as B5 * ''Audio'' (album), an album by the Blue Man Group * ''Audio'' (magazine), a magazine published from 1947 to 2000 *Audio (musician), British drum and bass artist * "Audio" (song), a song by LSD *"Audios", a song by Black Eyed Peas from ''Elevation'' Computing *HTML audio, identified by the tag See also * ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Digital Audio
Digital audio is a representation of sound recorded in, or converted into, digital signal (signal processing), digital form. In digital audio, the sound wave of the audio signal is typically encoded as numerical sampling (signal processing), samples in a continuous sequence. For example, in CD audio, samples are taken 44,100 Hertz, times per second, each with 16-bit audio bit depth, resolution. Digital audio is also the name for the entire technology of sound recording and reproduction using audio signals that have been encoded in digital form. Following significant advances in digital audio technology during the 1970s and 1980s, it gradually replaced comparison of analog and digital recording, analog audio technology in many areas of audio engineering, record production and telecommunications in the 1990s and 2000s. In a digital audio system, an analog signal, analog electrical signal representing the sound is converted with an analog-to-digital converter (ADC) into a digital ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Audio Clips
A media clip is a short segment of electronic media, either an audio clip or a video clip. Media clips may be promotional in nature, as with movie clips. For example, to promote upcoming movies, many actors are accompanied by movie clips on their circuits. Additionally, media clips may be raw materials of other productions, such as audio clips used for sound effects. See also *Short-form content *Soundbite *Photo op A photo op (sometimes written as photo opp), short for photograph opportunity (or photo opportunity), is an arranged opportunity to take a photograph of a politician, a celebrity, or an event.BBC video news clips from 1950 [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Speech Synthesis
Speech synthesis is the artificial production of human speech. A computer system used for this purpose is called a speech synthesizer, and can be implemented in software or hardware products. A text-to-speech (TTS) system converts normal language text into speech; other systems render symbolic linguistic representations like phonetic transcriptions into speech. The reverse process is speech recognition. Synthesized speech can be created by concatenating pieces of recorded speech that are stored in a database. Systems differ in the size of the stored speech units; a system that stores phones or diphones provides the largest output range, but may lack clarity. For specific usage domains, the storage of entire words or sentences allows for high-quality output. Alternatively, a synthesizer can incorporate a model of the vocal tract and other human voice characteristics to create a completely "synthetic" voice output. The quality of a speech synthesizer is judged by its similar ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Siri
Siri ( , backronym: Speech Interpretation and Recognition Interface) is a digital assistant purchased, developed, and popularized by Apple Inc., which is included in the iOS, iPadOS, watchOS, macOS, Apple TV, audioOS, and visionOS operating systems. It uses voice queries, gesture based control, focus-tracking and a natural-language user interface to answer questions, make recommendations, and perform actions by delegating requests to a set of Internet services. With continued use, it adapts to users' individual language usages, searches, and preferences, returning individualized results. Siri is a Corporate spin-off, spin-off from a project developed by the SRI International Artificial Intelligence Center. Its speech recognition engine was provided by Nuance Communications, and it uses advanced machine learning technologies to function. Its original American, British, and Australian voice acting, voice actors recorded their respective voices around 2005, unaware of the recording ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Amazon Alexa
Amazon Alexa is a virtual assistant technology marketed by Amazon and implemented in software applications for smart phones, tablets, wireless smart speakers, and other electronic appliances. Alexa was largely developed from a Polish speech synthesizer named Ivona, acquired by Amazon in January 24, 2013. Alexa was first used in the Amazon Echo smart speaker and the Amazon Echo Dot, Echo Studio and Amazon Tap speakers developed by Amazon Lab126. It is capable of natural language processing for tasks such as voice interaction, music playback, creating to-do lists, setting alarms, streaming podcasts, playing audiobooks, providing weather, traffic, sports, other real-time information and news. Alexa can also control several smart devices as a home automation system. Alexa's capabilities may be extended by installing "skills" (additional functionality developed by third-party vendors, in other settings more commonly called apps) such as weather programs and audio feature ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Voice Cloning
Audio deepfake technology, also referred to as voice cloning or deepfake audio, is an application of artificial intelligence designed to generate speech that convincingly mimics specific individuals, often synthesizing phrases or sentences they have never spoken. Initially developed with the intent to enhance various aspects of human life, it has practical applications such as generating audiobooks and assisting individuals who have lost their voices due to medical conditions. Additionally, it has commercial uses, including the creation of personalized digital assistants, natural-sounding text-to-speech systems, and advanced speech translation services. Incidents of fraud Audio deepfakes, referred to as audio manipulations beginning in the early 2020s, are becoming widely accessible using simple mobile devices or personal computers. These tools have also been used to spread misinformation using audio. This has led to cybersecurity concerns among the global public about the side ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Generative Adversarial Network
A generative adversarial network (GAN) is a class of machine learning frameworks and a prominent framework for approaching generative artificial intelligence. The concept was initially developed by Ian Goodfellow and his colleagues in June 2014. In a GAN, two neural networks compete with each other in the form of a zero-sum game, where one agent's gain is another agent's loss. Given a training set, this technique learns to generate new data with the same statistics as the training set. For example, a GAN trained on photographs can generate new photographs that look at least superficially authentic to human observers, having many realistic characteristics. Though originally proposed as a form of generative model for unsupervised learning, GANs have also proved useful for semi-supervised learning, fully supervised learning, and reinforcement learning. The core idea of a GAN is based on the "indirect" training through the discriminator, another neural network that can tell ho ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
WaveNet
WaveNet is a deep neural network for generating raw audio. It was created by researchers at London-based AI firm DeepMind. The technique, outlined in a paper in September 2016, is able to generate relatively realistic-sounding human-like voices by directly modelling waveforms using a neural network method trained with recordings of real speech. Tests with US English and Mandarin reportedly showed that the system outperforms Google's best existing text-to-speech (TTS) systems, although as of 2016 its text-to-speech synthesis still was less convincing than actual human speech. WaveNet's ability to generate raw waveforms means that it can model any kind of audio, including music. History Generating speech from text is an increasingly common task thanks to the popularity of software such as Apple's Siri, Microsoft's Cortana, Amazon Alexa and the Google Assistant. Most such systems use a variation of a technique that involves concatenated sound fragments together to form recognis ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
The Guardian (Nigeria)
''The Guardian'' is a Nigerian independent daily newspaper, established in 1983, published by Guardian Newspapers Limited in Lagos, Nigeria. History ''The Guardian'' was established in 1983 by Alex Ibru, an entrepreneur, and Stanley Macebuh, a top journalist with the '' Daily Times'' newspapers, with its model copied from ''The Guardian'' in the UK. ''The Guardian'' was a pioneer in introducing high-quality journalism to Nigeria with thoughtful editorial content. The paper was first published on 22 February 1983 as a weekly, appearing on Sundays. It started daily publication on 4 July 1983. During the administration of General Muhammadu Buhari, reporters Tunde Thompson and Nduka Irabor were both sent to jail in 1984 under Decree No. 4 of 1984, which suppressed journalistic freedom. On 26 August 1989 ''The Guardian'' published a long letter by Dr. Bekolari Ransome-Kuti, a human-rights activist, entitled "Open Letter to President Babangida", in which he criticized what he saw a ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Deep Learning Speech Synthesis
Deep learning speech synthesis refers to the application of deep learning models to generate natural-sounding human speech from written text (text-to-speech) or spectrum (vocoder). Deep neural networks are trained using large amounts of recorded speech and, in the case of a text-to-speech system, the associated labels and/or input text. Formulation Given an input text or some sequence of linguistic units Y, the target speech X can be derived by X=\arg\max P(X, Y, \theta) where \theta is the set of model parameters. Typically, the input text will first be passed to an acoustic feature generator, then the acoustic features are passed to the neural vocoder. For the acoustic feature generator, the loss function is typically L1 loss (Mean Absolute Error, MAE) or L2 loss (Mean Square Error, MSE). These loss functions impose a constraint that the output acoustic feature distributions must be Gaussian or Laplacian. In practice, since the human voice band ranges from approximately 300 ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
Generative Art
Generative art is post-conceptual art that has been created (in whole or in part) with the use of an autonomous system. An ''autonomous system'' in this context is generally one that is non-human and can independently determine features of an artwork that would otherwise require decisions made directly by the artist. In some cases the human creator may claim that the Generative systems, generative system represents their own artistic idea, and in others that the system takes on the role of the creator. "Generative art" often refers to algorithmic art (algorithmically determined Computer-generated artwork, computer generated artwork) and synthetic media (general term for any algorithmically generated media), but artists can also make generative art using systems of chemistry, biology, mechanics and robotics, smart materials, manual randomization, mathematics, data mapping, symmetry, and Tessellation, tiling. Generative algorithms, algorithms programmed to produce artistic work ... [...More Info...] [...Related Items...] OR: [Wikipedia] [Google] [Baidu] |
