Rohatash Kumar is an insurance professional seeking to utilize his full potential to make an impact. He has a BA from Maharaja Ganga Singh University and is a certified insurance planner. Currently he is a senior relationship manager at PNB Met Life India Insurance, where he has worked since 2012 coordinating between clients and staff and managing sales. Previously he worked at Axis Bank as a business development executive from 2011-2012, managing sales and cross-selling. He has received several awards and qualifications for his work.
This Presentation is Based on the Policy Communities of the Society who has a great role in the society to influence the Government about a specific policy or issue.
Speech recognition, also known as automatic speech recognition, allows computers to understand human speech by converting analog audio to digital text using acoustic and language models to recognize sounds and predict words. It can be used for dictation, navigation, commercial applications, and more, and comes in speaker-dependent and speaker-independent varieties, with the former being more accurate but requiring voice training. The technology continues to improve in accuracy through advances like better modeling of speech, filtering of noise, and systems that can interpret intended meaning despite errors.
This document discusses speech coding techniques. It introduces speech processing which includes compression, manipulation, storage, transfer and reconstruction of speech. It explains that speech coding is needed for applications like mobile communication, voice over internet protocol, satellite broadcasting and PSTN networks. The document outlines various attributes of speech coders like low bit-rate, high speech quality and low computational complexity. It also describes different types of speech coders like waveform coders, source coders, time domain coders and frequency domain coders. Objective and subjective measures for evaluating performance of speech coders are discussed.
Speech coding is the art of creating a minimally redundant representation of the speech signal that can be ef鍖ciently transmitted or stored in digital media, and decoding the signal with the best possible perceptual quality.
Learn the art of speech coding. Enroll in Image and Video Communication Certificate Course by IIT Kharagpur.
This document provides an overview of speech recognition technology. It defines key terms like utterances, pronunciation, and grammar. It describes how speech recognition works by explaining the acoustic model, grammar, and recognized text. It also discusses standards, performance measurement, and provides an example of Google Search by Voice.
Li-Fi is a wireless optical networking technology that uses light-emitting diodes (LEDs) for data transmission.Li-Fi is designed to use LED light bulbs similar to those currently in use in many energy-conscious homes and offices.
Speech recognition, also known as automatic speech recognition or computer speech recognition, allows computers to understand human voice. It has various applications such as dictation, system control/navigation, and commercial/industrial uses. The process involves converting analog audio of speech into digital format, then using acoustic and language models to analyze the speech and output text. There are two main types: speaker-dependent which requires training a model for each user, and speaker-independent which can recognize any voice without training. Accuracy is improving over time as technology advances.
This document summarizes a speech recognition system (SRS). SRS uses speech identification and verification. Speech identification determines which registered speaker provided an utterance by extracting features like mel-frequency cepstrum coefficients and comparing them. Speech verification accepts or rejects an identity claim by clustering training vectors from an enrollment session into speaker-specific codebooks using vector quantization. Applications of SRS include banking by phone, voice dialing, voice mail, and security control.
Rohatash Kumar is an insurance professional seeking to utilize his full potential to make an impact. He has a BA from Maharaja Ganga Singh University and is a certified insurance planner. Currently he is a senior relationship manager at PNB Met Life India Insurance, where he has worked since 2012 coordinating between clients and staff and managing sales. Previously he worked at Axis Bank as a business development executive from 2011-2012, managing sales and cross-selling. He has received several awards and qualifications for his work.
This Presentation is Based on the Policy Communities of the Society who has a great role in the society to influence the Government about a specific policy or issue.
Speech recognition, also known as automatic speech recognition, allows computers to understand human speech by converting analog audio to digital text using acoustic and language models to recognize sounds and predict words. It can be used for dictation, navigation, commercial applications, and more, and comes in speaker-dependent and speaker-independent varieties, with the former being more accurate but requiring voice training. The technology continues to improve in accuracy through advances like better modeling of speech, filtering of noise, and systems that can interpret intended meaning despite errors.
This document discusses speech coding techniques. It introduces speech processing which includes compression, manipulation, storage, transfer and reconstruction of speech. It explains that speech coding is needed for applications like mobile communication, voice over internet protocol, satellite broadcasting and PSTN networks. The document outlines various attributes of speech coders like low bit-rate, high speech quality and low computational complexity. It also describes different types of speech coders like waveform coders, source coders, time domain coders and frequency domain coders. Objective and subjective measures for evaluating performance of speech coders are discussed.
Speech coding is the art of creating a minimally redundant representation of the speech signal that can be ef鍖ciently transmitted or stored in digital media, and decoding the signal with the best possible perceptual quality.
Learn the art of speech coding. Enroll in Image and Video Communication Certificate Course by IIT Kharagpur.
This document provides an overview of speech recognition technology. It defines key terms like utterances, pronunciation, and grammar. It describes how speech recognition works by explaining the acoustic model, grammar, and recognized text. It also discusses standards, performance measurement, and provides an example of Google Search by Voice.
Li-Fi is a wireless optical networking technology that uses light-emitting diodes (LEDs) for data transmission.Li-Fi is designed to use LED light bulbs similar to those currently in use in many energy-conscious homes and offices.
Speech recognition, also known as automatic speech recognition or computer speech recognition, allows computers to understand human voice. It has various applications such as dictation, system control/navigation, and commercial/industrial uses. The process involves converting analog audio of speech into digital format, then using acoustic and language models to analyze the speech and output text. There are two main types: speaker-dependent which requires training a model for each user, and speaker-independent which can recognize any voice without training. Accuracy is improving over time as technology advances.
This document summarizes a speech recognition system (SRS). SRS uses speech identification and verification. Speech identification determines which registered speaker provided an utterance by extracting features like mel-frequency cepstrum coefficients and comparing them. Speech verification accepts or rejects an identity claim by clustering training vectors from an enrollment session into speaker-specific codebooks using vector quantization. Applications of SRS include banking by phone, voice dialing, voice mail, and security control.
2. Meteoroloji hava hareketlerinin, s脹cakl脹k
ve bas脹n巽 deiimlerinin tahmin
edilmesidir.
Meteoroloji bilgisi hem kald脹r脹c脹 veya
bast脹r脹c脹lar脹 tahmin ederek daha verimli
u巽ular yapmak hemde deien hava
artlar脹n脹 tahmin ederek daha g端venli
u巽ular yapmak a巽脹s脹ndan 旦nemlidir.
3. Meteoroloji iki seviyede incelenebilir:
Mikrometeoroloji: Hava hareketlerinin
k端巽端k 旦l巽ekte, u巽tuumuz tepe
civar脹nda, incelenmesidir.
Makrometeoroloji: Hava hareketlerinin
b端y端k 旦l巽ekte cephe ve bas脹n巽
sistemlerinin incelenmesidir. (聴leri d端zey.)
4. Bulutlar
ekillerine g旦re:
Cumulus: K端me bulutlar
Stratus: Tabaka bulutlar
聴rtifalar脹na g旦re:
Al巽ak irtifa: Orta irtifa: Alto- (2000 m 7000 m)
Y端ksek irtifa: Cirro- ( 7000+ m )
18. R端zgar
R端zgar her zaman y端ksek bas脹n巽
merkezinden al巽ak bas脹n巽 merkezine
doru hareket eder.
Bas脹n巽 fark脹 artt脹k巽a r端zgar脹n h脹z脹 ve
iddeti de artar.
24. Y端ksek Bas脹n巽 Sistemi
旦kmekte olan geni hava sistemidir
Hava 巽旦k端端n sebebiyle s脹k脹脹r 脹s脹n脹r nem tutabilmesi artar. Bu
da bulut oluumunu zorlat脹r脹r.
Yaz脹n ;sakin ve a巽脹k bi g旦ky端z端
K脹脹n;sis ve de al巽ak bulut taban脹 demek olabiir
Y端kselen hava ak脹m脹na izin vermez ve de sakin bir havaya
sebep olur
25. Cephe Sistemleri
Farkl脹 旦zelliklerdeki (s脹cakl脹k, nem,
younluk vb.) hava k端tlelerini birbirinden
ay脹ran ge巽i b旦lgelerine Cephe veya
Cephesel Y端zey denir.
26. S脹cak Cephe
Hareketli s脹cak hava ile durgun souk hava
S脹cak hava souk havan脹n 端st端ne doru itilerek y端kselir
Giderek kal脹nlaan stratus bulutu => yamur
Cephe ge巽tikten sonra
Yamur durur ancak hava bulutludur
Hava daha s脹cak ve sakindir
28. Souk Cephe
Hareketli souk hava ile duraan s脹cak hava
Souk hava s脹cak havan脹n alt脹na girerek onu yukar脹 doru
iter
S脹cakl脹k ve nem oran脹 d端er, bas脹n巽 artar
Ya脹 cephe gerisinde dar bir alanda g旦r端l端r
H脹zl脹 hareket eder
Cephe ge巽tikten sonra
Hava souk a巽脹k ve t端rb端lansl脹d脹r
30. S脹cak Cephe
Souk Cephe
S脹cak hava hareketli
Souk hava hareketli
R端zgar iddetlenir
R端zgar iddetlenir
K脹sa s端reli ya脹
K脹sa s端rer
Y端ksek irtifada cirrus al巽akta
Cb oluumu g旦zlenebilir
k端m端l端sler
Ge巽tikten sonra s脹cak ve de
stabil hava beklenir
Ge巽tikten sonra a巽脹k ve
termikli hava beklenir
31. kl端zyon Cephe
H脹zl脹 hareket eden souk cephenin yava
hareket eden s脹cak cepheyi yakalamas脹yla
oluur
聴ki souk hava aras脹nda s脹k脹an hava
y端kselmeye zorlan脹r
Yava hareket eder
kl端zyon cepheler u巽u i巽in uygunsuz koullar
demektir
33. Deniz Meltemi Cephesi
Deniz k脹y脹lar脹nda yaln脹zca yaz aylar脹nda g旦r端l端r.
Denizden gelen souk ve nemli hava souk cephe etkisi g旦sterir.
Bu cephede deniz kenar脹na yak脹n yerler bast脹r脹c脹 旦zellii g旦sterir.
Yazlar脹 旦leden sonra k脹y脹dan 40-50 km i巽lerde oluur.
Akam t端m termikler bittiinde bile etkisini s端rd端r端r.