12
votes
Convert audio recording of word to IPA representation
The other answers have hit the highlights, going so far as to suggest that it is impossible in principle. Contrariwise, I argue that it could be done in principle, as long as you don't overstate what ...
8
votes
Accepted
What's the relationship between harmonics and formants?
why the harmonic frequencies are integer multiples of the fundamental frequency?
Physics!
Pretty much all of the physical processes that create vibrations at a base frequency, also create vibrations ...
7
votes
Accepted
Any software that label a WAV file into phonemes
Broadly, you're describing the entire (not-fully-solved) problem of automatic speech recognition/automatic transcription. However, if you have the text of the sentences (e.g., if the recordings are ...
6
votes
Accepted
looking for corpus of dialogue recording in appointment between doctors and patients
Contrary to the expectations of some commentators, doctor-patient corpora are available (under some conditions, needing to sign some licence and confidentially agreement) for research. The standard ...
5
votes
Accepted
How does Kaldi compare with Mozilla DeepSpeech in terms of speech recognition accuracy?
https://web.archive.org/web/20171130080859/https://hacks.mozilla.org/2017/11/a-journey-to-10-word-error-rate/ :
Our word error rate on LibriSpeech’s test-clean set is 6.5%, which not only achieves ...
4
votes
Convert audio recording of word to IPA representation
When someone says something is not possible, it should be implicitly considered that it wasn't possible at the time the answer was written. It is now possible to transcribe audio clips to IPA but it ...
4
votes
Acoustic signal to phones?
Phones are a "thing" because they were the first decent method of objectively and accurately recording unwritten languages (in the 19th century). Back then, if you heard a Lushootseed speaker ...
4
votes
Why is recognition based on phonemes and not syllables or morphemes?
Assuming the goal of writing a speech recognition program that does what the human mind does, a large non-linguistic front end must be dealt with first (a front end that is decidedly not part of ...
4
votes
Any software that label a WAV file into phonemes
Praat is the main program used to analyze sound data for phonetics research. It's available for free at the link. You can use the program to add markers and replay snippets, as well as analyze ...
4
votes
Accepted
How to read and understand linguistics articles?
This suggests a possible meta-study on intelligibility of technical works by native and non-native speakers. A technical paper in phonology might be unintelligible because of the linguistic structure ...
3
votes
Accepted
Libs or APIs for removing background noise from voice input?
Take a look at 2Hz Noise Suppression API.
It's language-agnostic and is a REST API so you can use it from any programming language.
Currently the API isn't designed for real time however this will ...
3
votes
What do you call the same phoneme that behaves a little bit differently in particular environments?
IMO this is a classical terminological question. In some views, by definition it is an "allophone". The phones are the detailed surface sounds, a symbolic representation of speech without prejudice to ...
3
votes
How does Kaldi compare with Mozilla DeepSpeech in terms of speech recognition accuracy?
Kaldi provides WER of 4.28% whereas deepspeech gives 5.83% on librispeech clean data. Check this out: https://github.com/syhw/wer_are_we
3
votes
Is it possible to automatically recognize a single syllable as its IPA transcription?
This is impossible in principle, at least in the form that you asked. A modified version of the task might be possible. The main reason is that the input would be an acoustic waveform, which needs to ...
2
votes
Convert audio recording of word to IPA representation
As others have already noted, building a system for this that does not make assumptions about the language in question is really hard. Li et al. (2020) present a system which I think is state of the ...
2
votes
What phonetic elements is the word yes and no put together by?
I suspect you are not using the expression "phone level" in its technical sense. Also "detecting words at the phone level" isn't meaningful, but perhaps you intend "detecting words, given a waveform-...
2
votes
What phonetic elements is the word yes and no put together by?
Human speech is noisy, and speech recognition must be able to find patterns in the noise.
Phones have a series of articulatory attributes: places and manners of articulation, tongue shape, etc.; ...
2
votes
What do you call the same phoneme that behaves a little bit differently in particular environments?
Researchers speak of Segmental Variability or Density of Phonetic Encoding in this respect, see, e.g., Zofia Malisz, Erika Brandt, Bernd Möbius, Yoon Mi Oh, and Bistra Andreeva,Dimensions of Segmental ...
2
votes
Libs or APIs for removing background noise from voice input?
Removing noise usually corrupts the speech and harms the performance. It is frequently more accurate to decode noisy speech than noise-cleaned speech, in particular because recognizer does noise ...
2
votes
Accepted
What problems does co-articulation cause in speech recognition?
Modern data-driven approaches to speech recognition are ignorant about but robust to this one of many aspects of orthography that are not fully phonetic but occur relatively consistently in the ...
2
votes
How do ASR systems cope with noise?
In my experience, speech-recognition systems do quite a bit of preprocessing on the signal before trying to interpret it; part of that is getting rid of the noise.
The key is, most speech signals are ...
2
votes
Accepted
Distinguishing between [s] and [ʪ] in spectrogram
You will probably have to dig elsewhere to find actual data on lateral lisps. One large caveat is that you can't compare children and adults, and the data on characteristic properties of phonemes will ...
2
votes
English / French speech to IPA
There is no program that converts samples speech to IPA. Some program might appear to do that, by converting an utterance of language Z into its orthographic form then following conventional text-to-...
1
vote
How important is speaker-balance for speech recognition models?
Realistic datasets are always like that. You'd better focus on proper algorithms to train on such datasets than on fixing the dataset itself.
With proper algorithm balance is not a problem. It is ...
1
vote
How do ASR systems cope with noise?
Robust speech recognition is a huge area with lots of research papers. You can start from a textbook by Microsoft:
Robust Automatic Speech Recognition
1
vote
What do you call the same phoneme that behaves a little bit differently in particular environments?
I believe phonologists often don't make a distinction between allophonic and non-allophonic variation in the realization of phonemes, but, when they do, it goes something like this: allophonic ...
1
vote
Finding fundamental particles of sound In ASR systems?
Can we divide phonemes which are specific to a language into some more fundamental entities same across all languages ?
There is the spectrogram (https://en.wikipedia.org/wiki/Spectrogram), maybe ...
1
vote
Turkish voice to text speech recognition references
If you actually try to speak a very long Turkish word, for example Afyonkarahisarlılaştırabildiklerimizdenmişsinizcesine, is it recognised?
Today's speech recognition is end-to-end, that is, the ...
1
vote
Acoustic signal to phones?
When hearing language, we can distinguish articulations, such as whether the vocal cords are vibrating or the tongue body is lowered in the mouth. A phone is the sound made by a certain state of the ...
1
vote
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Related Tags
speech-recognition × 48phonetics × 12
computational-linguistics × 7
phonemes × 6
phonology × 5
spoken-language × 5
praat × 4
software × 4
ipa × 3
acoustic-analysis × 3
english × 2
terminology × 2
reference-request × 2
resource-request × 2
vowels × 2
prosody × 2
morphemes × 2
tools × 2
speech-synthesis × 2
language-models × 2
historical-linguistics × 1
corpora × 1
consonants × 1
second-lang-acquisition × 1
transcription × 1