Speech Emotion Recognition using Deep Learning

[@ashimrai4260]

Can you make a video on building android app for SER

[@meghana4037]

Getting error in test_size=0.25,,what to do??

[@prasannaprasanna3519]

Can u help me?

[@deepthinagella2215]

@@prasannaprasanna3519 yes same error.?
how did you solve it??

[@prasannaprasanna3519]

I have taken other code in kaggle

[@shreyashresth5288]

@@prasannaprasanna3519 its working ???? can u share that code

[@basmam.2058]

I want to contact you, How can I do that?

[@arryansinha5757]

Did you able to deploy this model

[@naveensurendran2622]

Can you please show the ppt of this project sir ???🥺

[@krishkhemani96]

Have you tried using Multiple Classifiers to increase your accuracy!!??

[@sarangparashar9029]

did you try something? If yes kindly share

[@prasannaprasanna3519]

Help me

[@bellambharath3625]

Bro i got error in this google colab file , please can you solve it ,i am alredy sent a email to you bro

[@mandlemsahityalakshmi7476]

i am getting error in text_size=0.25 will you please help me to rectify my error to complete my project

[@rahulmunagala207]

even I'm facing the same issue bro.

[@kanaghasanthoshinisivakumar]

was it solved?

[@PhoChar]

same error

[@prasannaprasanna3519]

Solved or not?

[@prasannaprasanna3519]

​@@PhoCharbro solved ah?

[@Ayush_findings.345]

Hindi speech emotion recognition ....please
Mean to say using hindi voices dataset.

[@maheshreddyavula0511]

Hi, I am getting error in this part (x_train,x_test,y_train,y_test=load_data(test_size=0.25)) would you pls help me

[@rasikaphutke8501]

In extract_feature() function in above cell change this :
if mel:
mel=np.mean(librosa.feature.melspectrogram(y=X, sr=sample_rate).T,axis=0)
just to y=X

[@maheshreddyavula0511]

No, it's getting again error

[@rasikaphutke8501]

@@maheshreddyavula0511 for me it worked

[@maheshreddyavula0511]

Can u send your code for me

[@rasikaphutke8501]

@@maheshreddyavula0511 give ur email id

[@kumarithalathoti9784]

Anybody had the code for ravdess dataset applying cnn,lstm,mlp classifier with 90% validation accuracy

[@DHARANIPRASADS]

Thank you so muchhh

[@mamadoubah8144]

based on that trained data, can you predict the emotion of another voice ? for example yours ?

[@setmongkol5248]

i actually try it and it only work with the train dataset. and here is the UserWarning: n_fft=2048 is too large for input signal of length=2
warnings.warn(
and my kernel crash

[@ramakrishnak2545]

Error while calling the load_data method.

[@kanaghasanthoshinisivakumar]

was it solved?

[@prasannaprasanna3519]

Help me

[@prasannaprasanna3519]

​@@kanaghasanthoshinisivakumarhelp me 🙏

[@razaiqbal7390]

(x_train,x_test,y_train,y_test=load_data(test_size=0.25)) would you pls help me

[@prasannaprasanna3519]

Can u help me bro 🙂

[@razaiqbal7390]

@@prasannaprasanna3519 sure!

[@razaiqbal7390]

@@prasannaprasanna3519 i Fixed the issue by myself 😅

[@ridhoaditya9280]

how
@@razaiqbal7390

[@RAJ_K_]

2 hours nosto korlam etar piche :)

[@SaiKiran-vk6im]

superb thanks alot:(

[@happydubbing2461]

Bro hindi me बनाओ