语音识别：检测日语假名（辅音和元音）
我想找到一些开源代码（尽管我会选择闭源产品）来转换传入的日语假名音频流（即辅音+元音对）并几乎实时打印出来。
但是，我想将这些基本声音单位用于我自己的自定义目的，因此我不需要任何试图提取真正日语单词的高级处理。我只想得到原始假名。
有人知道这样的技术吗？
我今天刚刚了解到日语“字母表”基本上是 假名 的 10x5 网格。 10 列（空 + 9 个辅音）和 5 行（元音）
，每个元素称为“假名”，语言由这些假名的序列组成；这些是基本构建块。
这肯定会对语音识别算法产生很大的影响。
对于西方语言，我所知道的所有商业语音识别引擎均源自 CMUSphinx，它在三元模型上运行：它用唯一的 MFCC 向量表示三个音素之间的每个运动，并计算出一个话语最可能的三元序列（从中它可以简单地推导出音素，然后遍历其字典）单词三元组，找出最可能的句子）。
但对于像日语这样的语言，我猜这可能不再是最有效的算法。
相反，尝试捕获每个假名或假名对可能是有意义的。
...这将是 2 克或 4 克。但不是3！
外面有什么吗？或者他们只是使用与西方世界相同的发动机？
I would like to find some open source code (although I would settle for a closed source product) to convert an incoming audio stream of Japanese Kana (ie consonant+vowel pairs) and print them out pretty much in real-time.
However, I want to use these basic sound units for my own custom purpose, so I don't want any high-level processing that tries to extract genuine Japanese words. I just want to get the raw Kana.
Is anyone aware of such a technology?
I just learned today that the Japanese ' alphabet ' is basically a 10x5 grid of Kana. 10 columns ( empty + 9 consonants ) and 5 rows ( vowels )
and each element is called a 'Kana', and the language consists of sequences of these Kana; these are the basic building blocks.
This must surely have a large impact on speech recognition algorithms.
For Western languages, all commercial speech recognition engines I am aware of derive from CMUSphinx which operates on a tri-gram model: it represents each movement between three phonemes with a unique MFCC vector and figures out the most likely tri-gram sequence(s) for an utterance (from which it can deduce trivially the phonemes, and then run through its dictionary of WORD-triplets, to figure out the most likely sentence).
But for a language such as Japanese, I would guess that this may no longer be the most efficient algorithm.
Instead, it may make sense to try and catch each individual Kana, or Kana-pair.
...which is going to be 2-gram or 4-gram. but not 3!
Is there anything out there? Or do they just use the same engines the Western world does?
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Julius 有日语的声学和语言模型。
尝试一下，看看它是否适合您的应用程序。
我不知道他们训练了语言模型，但 Julius 可以支持任何顺序的 n-gram
反向传球。在forward方面，是支持bigram。反过来使用 4-gram 是很常见的
经过。两个 LM 均使用 Julius 工具组合在一起。
路易斯
ASR实验室
Julius has acoustic and language models for Japanese.
Give a try and see if it is good for your application.
I don't know they trained language models, but Julius can support any order n-gram in the
reverse pass. In forward, it is support bigram. It is common to use 4-gram in the reverse
pass. Both LM are put together using a Julius tool.
Luis
ASR Labs