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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Extract Word Information From MFCC
I am making a pronunciation Scoring system, and I need to know how to separate the pronunciation information of an MFCC of a given spoken word, so that later i can match this MFCC with the MFCC of ...
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42 views
Speech recognition library for detecting phrase in file
I want to find all occurrences of a specific phrase in a set of audio files (it's a catch-phrase in a TV show). The phrase is pronounced by different people with different speed etc. What is the best ...
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Summer Projects - Suggestions
I'm looking for some suggestions and wondered if anyone had any ideas.
I have just completed a project in Speech Recognition using MFCC, Dynamic Time Warping and Hidden Markov Models etc.. (Some of ...
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Using MFCC in spoken words recognition
We're trying to implement a "simple" speech recognition application in MATLAB (isolated words from a very limited dictionary). We've been trying the following methods:
Extract MFCC coefficients for ...
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Zero padding of mfcc coefficients
I am trying to implement speech recognition using backpropagation algorithm, and I have been following this paper http://research.ijcaonline.org/volume42/number12/pxc3877946.pdf.
I have followed it ...
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1answer
95 views
What is the DTW result (applied to the MFCCs of an audio file) proportional to?
I have computed the MFCCs for two audio files and applied the DTW to both sets of coeficients for both files. Now each such pair the two files is described by one single value (computed by the DTW). ...
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110 views
DFT, cepstrum, LPC for feature extraction
I am a newbie in speech processing and experimenting to get a feel. I have extracted some speech segments using a window function and I want to find distance between a pair of segments. First, I took ...
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1answer
83 views
How to decide the number of cepstral coefficients?
For audio classification we are using cepstral coefficients, but how should I decide the number of coefficients?
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103 views
Most efficient algorithm for comparing two paths
I'm working with a Continuous Hidden Markov Model, and using the Viterbi Decoder which finds the best possible path for a given sequence. Here is how my algorithm works:
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1answer
114 views
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?
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1answer
34 views
Establishing Phrase Frequency in Audio Files
Is there any Application, Programming Library or Theory that could be used to identify human language phrases in a set of audio files, so as to calculate the frequency of occurrence of each such ...
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1answer
104 views
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 ...
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1answer
171 views
Hidden Markov Models - Distinct Observation Symbols
I really, really hope someone can help me with regards to this question.
I'm trying to implement a Hidden Markov Model (based off this paper: Here
I understand the processes, but, I do not ...
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Dynamic Time Warping - Comparing Values
Ok, so I'm trying to compare two different speech signals and I have come into a problem. Here goes:
I have split the signal into blocks, and I have computed the MFCC coefficients of each block. I ...
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86 views
Why does the excitation signal appear, separated, at high quefrencies in the cepstrum?
So, I've just begun a speech and language processing course and have found the explanation of the process of getting the cepstrum of a signal and its properties a little confusing. The following is a ...
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1answer
48 views
How to compare two speech recognition softwares?
I am working on building speech recognition software for my company.
In the meantime however, we will purchase some off-the-shelf commercial speech recognizers until the in-house one is ready. My ...
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1answer
183 views
Voice Recognition - MFCC
I have been researching about Speech Recognition and I have decided to take the MFCC approach to solving this problem of detecting whether someone is saying either "Yes" or "No". So as mentioned ...
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1answer
88 views
Hidden Markov Models - Identifying Phonemes
I'm developing a project that identifies Phonemes to be able to identify whether someone is saying either "Yes" or "No".
So far in the project, I have used Zero-crossings to identify what the person ...
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1answer
168 views
how does this equation correspond to smoothing?
Please help me understand smoothing of data. This is a follow up to my previous question posted here. Especially the top answer by Junuxx where he says a way of smoothing a function $f(x)$ is:
$$
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1answer
154 views
Speech Recognition Project - HMM
I am looking for advice on a project I am thinking about completing (for experience etc..)
My project is triggering a set of traffic lights (simulation) using Speech recognition. In theory, I want to ...
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53 views
Signals - Removing blocks
I'm after some advice on a problem that I am facing regarding signal processing.
I am processing a voice clip (.wav) and this voice clip contains noise, and I need to remove the noise and just ...
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1answer
141 views
Automatic Gain Control for voice
I am tasked with designing the logic for an automatic gain control. It won't be a traditional AGC in that it has to run on a computer and continuously modifying the volume is not possible in the same ...
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1answer
69 views
Frequency/harmonic analysis of accents
I am looking to find out how accents could/would be detected by a programme, I haven’t as of yet undergone an experiment into detecting or observing anything noticeable about recorded accents. I am ...
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3answers
657 views
human speech noise filter
Does anyone know of a filter to attenuate non-speech? I am writing speech recognition software and would like to filter out everything but human speech. This would include background noise, noise ...
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1answer
216 views
Determining how similar audio is to human speech
While looking for an answer to this problem, I found this board so decided to cross post this question of mine from Stack Overflow.
I am searching for a method of determining the similarity between ...
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185 views
Designing a feature vector for discriminating between different sonic waveforms
Consider the 4 following waveform signals:
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2answers
338 views
Is there any free software that can recognize and classify sounds?
i am making a smart home automation software and i would like to know if there is any software that can recognize noises such as speech ,playing music,phone ringing etc
The exact software i am looking ...
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297 views
How to Filter Human Speech from an Audio clip?
I'm looking for an open source library to detect Human speech from an audio clip, such as a wav file.
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338 views
how important is the pre-emphasis stage in MFCC?
I wrote a simple MFCC routine, using all the steps usually suggested in the literature with the exception of the pre-emphasis stage. How important is this stage?
Also, some authors suggest that using ...
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2answers
153 views
How do the English pronunciations of “tiu” and “tou” differ?
I'm creating an app (I'm a software developer) that for different sounds (interjections from the user) will do different things.
For example if the user says:
"Tiu", than it will do task A,
if it ...
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1answer
239 views
Vector Quantization in Hidden Markov Models
In the field of Gesture Recognition and Speech Recognition (using HMM classifiers), do multiple HMM classifiers (one for each class) share common Codebook (i.e common set of symbols) in Vector ...
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3answers
735 views
How to simulation different kinds of Noises in speech signal?
What are the different kinds of noise in speech signal? How can I simulate the same in Matlab for adding to a clean speech signal?
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1answer
105 views
How to segment phone call audio into silence/non silence?
My problem is that I don't know the energy of the background noise, so I can't just threshold the energy. The processing is done in real time, and I have about 500msec to decide.
Ideally, I'd want ...
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2answers
320 views
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 ...
