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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How to average MFCCs from different speakers saying the same word?

I am trying to create a simple recognition system. i have recordings of several speakers saying the same word, let's say "west". I compute the MFCC feature vectors of word "west" from each speaker. If ...
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25 views

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 ...
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32 views

HMM-based speech recognition/synthesis: state representation of monophones and triphones

In literature, a monophone is represented with 3 states. When doing context dependent clustering, 3 states are used to represent a triphone. Why is the triphone represented with 3 states and not 5? ...
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20 views

Effect of redundant training data in HMM-based speech recognizer/synthesizer?

How are redundant training data handled during the training stage? For example, assume we have one observation for phone $\theta$ in the training set. Then the training (for a monophone) is done ...
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32 views

Quick question about difference between two implementations of MFCC

I'm trying to learn more about voice recognition, and I was looking this library here and noticed there were two implementations of MFCC (one called mfcc and another called mfcc2). I ran both of these ...
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24 views

Why are the observation features of an HMM-based recognition/synthesis system modeled by a Gaussian distribution?

Why are the observation features (namely MFCCs) of an HMM-based recognition/synthesis system modeled by a Gaussian distribution? Even the state duration is modeled by a Gaussian in this paper: K. ...
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23 views

What are good estimates for phonemes length?

I am working in a phoneme recognition project, the language that I am using is "English". I have a tool that converts each written phrase in phonemes. Also I have an estimation of the time length of ...
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1answer
65 views

butterworth filter for signal processing

I have a school project to be able to move a wheelchair according to user instruction. I am currently starting my project by using matlab and have acquire several data for the training purpose. I am ...
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15 views

What will be the output fed to the ANN using MFCC [duplicate]

I am working on a speech recognition project. The output that I extracted using MFCC feature technique, how should I fed this to the artificial neural network? The table that is obtained from the ...
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12 views

Sound wave features correlated with speaker voice

What features of a sound wave are correlated with differences between the voices of different speakers, and/or where can I find a list of such features? If the answer depends on the input data, ...
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36 views

Word recognition with MSP430

In my DSP class at my university I have to create a simple word recognition system using the MSP430. Basically the board just needs to turn on and off an led at the commands "On" and "Off". My ...
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2answers
248 views

MFCC coefficients

I have read this, this, this, this and this as a reference for computing the MFCC for a given wave file. Although, I am sure the values look wrong. In short I followed the procedure in link 5. ...
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74 views

Averaging Different Length Speech Signal

I have around 10 wav audio files all containing same word spoken i.e. 'Hello' but all having different length. So lets say 1st file when loaded consist of 20000 samples, 2nd of 15000, 3rd of 18000 ...
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12 views

Role of HMM in speech recognition [duplicate]

What exactly hidden markov model does in speech recognition process? I read it is the representation of phonemes as states? What exactly is a state? Any detail article on HMM role in speech ...
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20 views

Unique feature value for each phoneme

I'm working in a speech recognition project for the university. I'm using the TIMIT dataset and pylearn2 as machine learning library. The project need to be simple, and it doesn't have to follow the ...
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1answer
33 views

Matching two video conversations

I have two video where two person having conversation. They begin recording different times. I want to match these two videos' frame numbers, i.e. By matching audio. How can I do that?
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60 views

In speech recognition applications, how are different voice amplitudes handled? (i.e loud vs. quiet tones)

I am doing some research related to real-time voice/hotword recognition engines. In most current implementations, input is divided into frames (overlapping or not), and audio features are extracted ...
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19 views

How do probabilities inform recognition and prediction?

This question is a broad one but a connection I have been trying to wrap my head around. I have been doing statistical inference like anova and regression (linear and logistic) along with some basic ...
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68 views

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 ...
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1answer
92 views

How to emulate human sound recognition

A person can recognise a large variety of sounds and fairly subtle differences in sound, even if they have only heard the sound once. Is it possible to recreate this with software, and how? ...
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36 views

How are sounds turned into phonemes

In the field of speech recognition, part of the process is to take a voice signal and break it up into constituent phonemes. For example, the English word hear is ...
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1answer
43 views

Ways to identify if music has vocal timbres in it?

The human voice is singular because it has a specific frequency spectrum and fast transitions between vowels and consonants. What are good and computationally fast ways to detect if there is probably ...
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1answer
20 views

Data representations for speech data

I'm interesting in knowing more about different kinds of data representations that are used for speech data. I know of FFT, but not any others. More precisely, I have the 3 following questions. What ...
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57 views

Problem in reading speech waveforms

I have two waveforms, and I'm not sure which of them is for the word "cease" and which one for "shoot". Now I guess based on voiced and unvoiced waveforms(voiced should be periodic), the first one is ...
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10 views

Energy-based speech recognition [duplicate]

I have a noisy recording with individual letters spoken. In a spectrogram view of the audio, the letters have higher energy. What can I use to isolate them? I'm fine with any tool.
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139 views

Initial state recognition in HMM

I am building a speech recognition system using Hidden Markov Model in python. I referred to this and this question and its answers, which were very helpful. In my approach, I split the continuous ...
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112 views

Markov processes

I am trying to read a paper and I found it difficult to understand. This is a quote: Standard Mel frequency cepstrum coefficient (MFCC) computation technique utilizes discrete cosine transform ...
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1answer
216 views

Detecting phones in a word audio

I am working on speech recognition for Hindi language. My approach is to map speech to text based on phones. For this, first split the speech into the words and then map each word to text by detecting ...
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2answers
255 views

Vowel detection using MFCC

Does anybody know a simple way to recognize vowels from MFCCs? (not words, just phonemes: a,e,i,o,u). I heard this is a vastly known problem in DSP with several solutions like SVM, GMM and cosine ...
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102 views

Speech recognition and comparison algorithms

I am doing several research for a prototype which I will be building. My prototype will consist of single word speech recognition and comparison with a preset recorded words. The prototyped system ...
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1answer
187 views

VAD speech databases

Does anybody know any open voice/speech annotated database for Voice Activity Detection? Or any other corpus for speech evaluation purposes? The ones I know are private: AURORA, TIMIT, SpeechDat-Car, ...
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69 views

What is the distance metric in dynamic time warping?

I am reading the lecture slides from this site http://luthuli.cs.uiuc.edu/~daf/courses/CS-498-DAF-P/Lecture%2018%20-%20Time%20series,%20DTW.pdf In slide 24, the lecture suggest using metric of the ...
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1answer
79 views

Filtering noise and identifying phones boundary in speech recongition

I am planning to do a self project on speech recognition for a vocabulary detection system using arduino. I know CMUsphinx or bitvoicer is probably the way to go. But I would like to code the project ...
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6answers
205 views

Call recognition using Digital Signal Processing

We are looking for writing applications which would recognize Bird calls and Frog calls using Sound processing. EDIT: I want to identify the species of bird / frog and do not want to differentiate ...
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152 views

Problem executing RIFFT in Cortex-M4

I'm implementing an Speech Recognition System over a Cortex-M4 processor (STM32F4-Discovery) and I'm facing a problem when a compute the RIFFT. I believe that I'm passing to the function the vector ...
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121 views

Computer Vision / Speech Recognition

I am not sure if the question is off topic but I need some input before I can finalize anything. Actually to do my higher studies (in research) I wanted to make sure that I land my career in Digital ...
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2answers
40 views

Re-recording audio vs. convoluting old audio data - differences?

I want to transform a studio audio dataset into a smartphone audio dataset (used for a speech recognition application). Would there be any difference in the resulting audio files using one of the ...
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1answer
115 views

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 ...
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1answer
97 views

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, ...
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1answer
246 views

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 ...
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1answer
81 views

The logarithm Energy measure in Speech

I am studying the mel-frequency cepstral coefficient (MFCC) and have downloaded a pdf which is related to MFCC from this link. It is about the "ETSI ES 201 108" ETSI ES 201 108 - Speech ...
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1answer
153 views

Speech recognition using mfcc and neural network [duplicate]

I am doing the project on speech recognition.I have implemented both the mfcc features and neural network.I am a bit confused in joining the two blocks.For example i have three different words with ...
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1answer
110 views

What is best practice to remove static noise?

What is best practice/algorithms to remove static noise from speech ? static noise aka Stationary Signal/static noise due to 1.humming sound due to of telephonic line/channel, 2.moving Vehicle,or ...
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390 views

In framing of audio samples', what is need of frame shift while giving frame size??

In framing of audio samples' in audio feature extraction, what is need of frame shift while giving frame size?? i.e. frame size = 20ms, frame shift = 10ms. Rather then shifting/overlapping why ...
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2answers
94 views

What do cloud-based speech-to-text services upload to the cloud?

Services like Siri and Google Now perform speech recognition (speech-to-text) on mobile phones by doing part of the computation on a server in the cloud. What do they upload to the cloud? Do they ...
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1answer
253 views

If MFCC vectors are speaker independent, then how can we reconstruct unique speech signals from them?

Reconstructing a speech signal from a collection of MFCC vectors seems to work pretty well, but I've heard that one advantage of MFCCs is speaker-independence i.e. they are more-or-less the same ...
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1answer
114 views

Good methods for hardware based 1-2 word speaker independent speech recognition?

I want to detect, in real-time, a 1-2 word spoken phrase within continuous speech, speaker independently, in hardware. The smaller the number of gates the better. What is the best way to do this? Are ...
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2answers
136 views

Compare two words from different speakers

I have a set of audio files which contain a word each one, and I'd want to be able to compare a new word (coming from a smartphone mic) to check if it resembles to a specific file and how much it ...
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3answers
514 views

Using MFCC to an ANN Speech Recognition System

I'm developing an Artificial Neural Network based Speech Recognition System using MFCCs. Suppose I have 260 input nodes in the ANN, and this number of nodes corresponds to the number of MFCCs that I ...
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2answers
679 views

Matching two audio inputs (signals) [duplicate]

this is for an application in which passwords are stored in the form of audio inputs . In order to provide user access , the password(in audio form) will be matched with already stored password(audio ...