• No results found

[PDF] Top 20 Learning Sub Word Units for Open Vocabulary Speech Recognition

Has 10000 "Learning Sub Word Units for Open Vocabulary Speech Recognition" found on our website. Below are the top 20 most common "Learning Sub Word Units for Open Vocabulary Speech Recognition".

Learning Sub Word Units for Open Vocabulary Speech Recognition

Learning Sub Word Units for Open Vocabulary Speech Recognition

... Large vocabulary speech recognition systems fail to recognize words beyond their vocab- ulary, many of which are information rich terms, like named entities or foreign ...Hybrid ... See full document

10

Using sub word n gram models for dealing with OOV in large vocabulary speech recognition for Latvian

Using sub word n gram models for dealing with OOV in large vocabulary speech recognition for Latvian

... Intuitively, any OOV improvement should also result in improvement of recognition quality. For example, the same 200K baseline system shows about 27% WER on a subset of evaluation data with no OOV words. However, ... See full document

5

Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition

Vocabulary Decomposition for Estonian Open Vocabulary Speech Recognition

... Speech recognition in many morphologi- cally rich languages suffers from a very high out-of-vocabulary (OOV) ...that vocabulary decomposition methods can practically solve this problem for a ... See full document

7

Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired

Speech Recognition System and Isolated Word Recognition based on Hidden Markov Model (HMM) for Hearing Impaired

... tory. Speech recognition is an automated conversion of spoken works into system based readable text ...Automatic Speech Recognition. Some speech recognition systems recog- nize ... See full document

5

A Comparative Study on Passive Vocabulary Growth Through Rote Learning and Multiple Exposures among Iranian EFL Learners

A Comparative Study on Passive Vocabulary Growth Through Rote Learning and Multiple Exposures among Iranian EFL Learners

... of vocabulary learning, it has been under severe critics in recent ...of vocabulary learning strategies are focused on contextualization, one of which is multiple exposures ...rote ... See full document

10

Hardware Implementation of a Low Power Speech Recognition System

Hardware Implementation of a Low Power Speech Recognition System

... in speech recognition and use it to reduce power consumption at the algorithm ...of speech recognition is fast-paced and constantly ...among speech recognition systems in the ... See full document

162

Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition

Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition

... Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition Hardware for Hidden Markov Model Based, Large Vocabulary Real Time Speech Recognition M W e i n t r a u b , G C h[.] ... See full document

6

Unlimited vocabulary speech recognition for agglutinative languages

Unlimited vocabulary speech recognition for agglutinative languages

... The word-based language mod- els that were constructed in this paper as reference models were trained as much as possible in the same way as the corresponding morph language ...The recognition approach ... See full document

8

Incidental Vocabulary Learning through Listening to Teacher Talk

Incidental Vocabulary Learning through Listening to Teacher Talk

... incidental vocabulary acquisition through listening to teacher talk, especially with EFL ...incidental vocabulary learning including both single word items and ...between vocabulary ... See full document

58

Large Vocabulary Continuous Speech Recognition for Bulgarian

Large Vocabulary Continuous Speech Recognition for Bulgarian

... The Recognition model is built in several ...the vocabulary is constructed using the methods presented ...the vocabulary of phonetized wordforms is ... See full document

5

Revisiting Word Neighborhoods for Speech Recognition

Revisiting Word Neighborhoods for Speech Recognition

... conversational speech corpus (Godfrey et ...401 word tokens (247 unique words) derived from the 3500 most frequent words in Switchboard-I, excluding non-speech events and partial ... See full document

9

Sign Language Recognition using Sub-Units

Sign Language Recognition using Sub-Units

... to sub-unit based Sign Language Recognition (SLR) cul- minating in a real time Kinect TM demonstration ...look-up. Speech recognition was faced with the same problem; the emergent solution was ... See full document

27

A Method for Open Vocabulary Speech Driven Text Retrieval

A Method for Open Vocabulary Speech Driven Text Retrieval

... since speech recog- nition on a syllable-by-syllable basis is not per- fect, it is possible that OOV words are incor- rectly ...Japanese word “kankitsu (citrus)” is transcribed as /ka N ke ... See full document

8

CriesfromtheHeart.docx

CriesfromtheHeart.docx

... Vocabulary Part of Definition Sentence Word Parts I This word looks like….. word speech Know (if any) home language Ruin Verb To spoil or destroy[r] ... See full document

8

An Empirical Study of Word Error Minimization Approaches for Mandarin Large Vocabulary Continuous Speech Recognition

An Empirical Study of Word Error Minimization Approaches for Mandarin Large Vocabulary Continuous Speech Recognition

... hypothesized word sequences was first generated from the word ...hypothesized word sequences included in the N-best list to 50, and the Levenshtein distance was calculated in terms of character ... See full document

22

Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition

Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition

... Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Language Identification via Large Vocabulary Speaker Independent Continuous Speech Recognition Steve Lowe[.] ... See full document

5

Acoustic Modeling of Subword Units for Large Vocabulary Speaker Independent Speech Recognition

Acoustic Modeling of Subword Units for Large Vocabulary Speaker Independent Speech Recognition

... ACOUSTIC MODELING OF SUBWORD UNITS FOR LARGE VOCABULARY SPEAKER INDEPENDENT SPEECH RECOGNITION A C O U S T I C M O D E L I N G O F S U B W O R D U N I T S F O R L A R G E V O C A B U L A R Y S P E A K[.] ... See full document

12

Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition

Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition

... Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Topic and Speaker Identification via Large Vocabulary Continuous Speech Recognition Barbara Peskin, Larry Gillick, Y[.] ... See full document

6

Speech Recognition of Continuous Tamil phoneme using DBN

Speech Recognition of Continuous Tamil phoneme using DBN

... In speech recognition first phase is preprocessing which deals with a speech signal which is an analog signal at recording time, which varies with ...in speech recognition systems is ... See full document

8

Comparative Experiments on Large Vocabulary Speech Recognition

Comparative Experiments on Large Vocabulary Speech Recognition

... COMPARATIVE EXPERIMENTS ON LARGE VOCABULARY SPEECH RECOGNITION COMPARATIVE EXPERIMENTS ON LARGE VOCABULARY SPEECH RECOGNITION Richard Schwartz, Tasos Anastasakos, Francis Kubala, John Makhoul, Long Ng[.] ... See full document

6

Show all 10000 documents...