Hmms is an English word of 4 letters. Below you'll find 5 example sentences showing how it's used in practice.
Hmms meaning
third-person singular simple present indicative of hmm
Using Hmms
- The main meaning on this page is: third-person singular simple present indicative of hmm
- In the example corpus, hmms often appears in combinations such as: hmms are.
Context around Hmms
- Average sentence length in these examples: 18 words
- Position in the sentence: 1 start, 3 middle, 1 end
- Sentence types: 5 statements, 0 questions, 0 exclamations
Corpus analysis for Hmms
- In this selection, "hmms" usually appears in the middle of the sentence. The average example has 18 words, and this corpus slice is mostly made up of statements.
- Around the word, models, use, using and discussed stand out and add context to how "hmms" is used.
- Recognizable usage signals include hmms are used and markov models hmms are widely. That gives this page its own corpus information beyond isolated example sentences.
- By corpus frequency, "hmms" sits close to words such as aaas, aacc and aacs, which helps place it inside the broader word index.
Example types with hmms
The same corpus examples are grouped by length and sentence type, making it easier to see the contexts in which the word appears:
Hidden Markov models (HMMs) are widely used in many systems. (10 words)
Typical error rates when using HMMs in this fashion are usually below five percent. (14 words)
Recently TTS systems have begun to use HMMs (discussed above) to generate " parts of speech " to aid in disambiguating homographs. (20 words)
HMMs are used in speech recognition because a speech signal can be viewed as a piecewise stationary signal or a short-time stationary signal. (24 words)
In this system, the frequency spectrum ( vocal tract ), fundamental frequency (voice source), and duration ( prosody ) of speech are modeled simultaneously by HMMs. (22 words)
Recently TTS systems have begun to use HMMs (discussed above) to generate " parts of speech " to aid in disambiguating homographs. (20 words)
Example sentences (5)
Hidden Markov models (HMMs) are widely used in many systems.
HMMs are used in speech recognition because a speech signal can be viewed as a piecewise stationary signal or a short-time stationary signal.
In this system, the frequency spectrum ( vocal tract ), fundamental frequency (voice source), and duration ( prosody ) of speech are modeled simultaneously by HMMs.
Recently TTS systems have begun to use HMMs (discussed above) to generate " parts of speech " to aid in disambiguating homographs.
Typical error rates when using HMMs in this fashion are usually below five percent.
Common combinations with hmms
These word pairs occur most frequently in English texts: