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According to Stevens' definition, a loudness of 1 sone is equivalent to 40 phons (a 1 kHz tone at 40 dB SPL). [1] The phons scale aligns with dB, not with loudness, so the sone and phon scales are not proportional. Rather, the loudness in sones is, at least very nearly, a power law function of the signal intensity, with an exponent of 0.3.
The phon is a logarithmic unit of loudness level for tones and complex sounds. Loudness is measured in sones , a linear unit. Human sensitivity to sound is variable across different frequencies ; therefore, although two different tones may present an identical sound pressure to a human ear, they may be psychoacoustically perceived as differing ...
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
The caveat is that this method is extremely difficult to automate; implementing this structure in a user-friendly fashion remains a major challenge facing translation app developers. A disadvantage that needs mentioning is the requirement for a stable Internet connection on the user's mobile device.
Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language. This differs from phrase translation, which is where the system only translates a fixed and finite set of phrases that have been manually entered into the system.
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.
By 2020, the system had been replaced by another deep learning system based on a Transformer encoder and an RNN decoder. [10] GNMT improved on the quality of translation by applying an example-based (EBMT) machine translation method in which the system learns from millions of examples of language translation. [2]
This norm also contains a quantitative description of the relationships between the loudness level L N in phon and the loudness N in sone. For 1 kHz sinus signals the loudness level and the sound presure level are identical. According to this norm the following formula is given for loudness levels less than 40 phon or for loudnesses less than 1 ...