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Questions tagged [speech-recognition]

Speech recognition is the process of converting the spoken word to text, usually without regard to a particular speaker (which is more commonly referred to as "voice recognition").

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What does a "vector" in a hidden Markov model mean?

I know that a Hidden Markov Model (HMM) is used in speech recognition and understand it to some degree. However, what I don't know is how input (speech) is "transformed" to a vector which in later used in HMM. How do you get a vector from a sound…
StupidOne
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Distinguish vowels from consonants

Problem of processing speech. Required to determine the phonemes and identify vowels and consonants. Anyone involved in this? Please advise what work on the subject is worth reading?
ekruten
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Hidden Markov Model for Speech Rcognition. HMM Number of States

This is a question that came to mind as a result of a previous question Hidden Markov Models - Distinct Observation Symbols and subsequent answer from @pichenettes. One approach to speech recognition is to use Hidden Markov Models (HMM) to identify…
user2718
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Using HMM for speech recognition

I'm trying to understand how speech recognition works, when using HMM. I know this post is very long, but that's mainly because I'm a complete beginner, and I since I have no idea what is clear and what is not, I try to write everything as clearly…
Jake1234
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Finding fundamental particles of sound In ASR systems?

Q1. Can we divide phonemes which are specific to a language into some more fundamental entities same across all languages ? Q2. Will this help us in achieving language independent acoustic modelling ? Q3. What are the challenges, If any in above…
humble_wolf
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Improve performance of speech recognition

Could anyone recommend good speech pre-processing/filtering algorithms/methods that would improve the performance of my speech recognition. I have been primarily been doing image processing related stuff and hence am not much aware of speech…
patel deven
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Confusion about speech being piecewise stationary

From wikipedia: "Modern general-purpose speech recognition systems are based on Hidden Markov Models. These are statistical models that output a sequence of symbols or quantities. HMMs are used in speech recognition because a speech signal can be…
Jake1234
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Continuous speech recognition with HMM

I don't understand how this works. Help would be really appreciated. Let's say we have a 10 second sound input, we make a feature vector every 10ms - so we have 1000 vectors - $\mathbf{o}=o_1, \cdots,o_{1000}$. For simplicity, let's say that all we…
Jake1234
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Speech recognition question

I am searching for a software that will translate speech to text but if it does not recognise a word, it will simply write a close resemblance to a word only misspelled, for example, if I say the word house, but it does not recognise house, it will…
Ran Tzafrir
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Word Error Rate weights

Usually ASR systems are evaluated using WER (word error rate), which summarizes 3 types of changes when calculating the edit distance: insertions, deletions and substitutions. According to the wikipedia page, there are two versions: A. each type is…
dimid
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Discrimiation between human speech and computer generated one

I'm currently working on voice activity detection (VAD) theme and I just started to wonder - if computer generated speech (as when using voice generators) can be discriminated from human speech with classic VAD approaches (ex. 4Hz energy modulation,…
user3038744
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