| 01-haar_cascade.mp4 | 8.6 MB | ||
| 01-human_speech.mp4 | 29.4 MB | ||
| 01-installing_opencv_on_windows.mp4 | 13.9 MB | ||
| 01-introduction_to_speech_audio_data.mp4 | 14 MB | ||
| 01-morphological_operations.mp4 | 24.5 MB | ||
| 01-operations_on_opencv.mp4 | 11.1 MB | ||
| 01-summary_for_ai_applications_computer_vision_and_speech_recognition.mp4 | 24 MB | ||
| 01-summary_of_computer_vision_with_opencv.mp4 | 36.5 MB | ||
| 01-summary_of_speech_recognition_and_audio_analysis.mp4 | 17.2 MB | ||
| 01-summary_of_video_processing_with_opencv.mp4 | 22.9 MB | ||
| 01-video_processing.mp4 | 12.9 MB | ||
| 01-welcome_to_ai_applications_computer_vision_and_speech_recognition_instructions.html | 7.1 KB | ||
| 02-course_introduction.mp4 | 19.8 MB | ||
| 02-demonstration_implementing_frame_by_frame_video_processing.mp4 | 39.1 MB | ||
| 02-demonstration_loading_the_image_and_encoding_image_to_rgb.mp4 | 41.1 MB | ||
| 02-haar_cascade_algorithm_overview.mp4 | 25.2 MB | ||
| 02-installing_opencv_on_windows_handling_libraries_in_jupyter.mp4 | 22 MB | ||
| 02-introduction_to_speech_human_computer_interaction_and_applications.mp4 | 20.1 MB | ||
| 02-morphological_operations_in_opencv.mp4 | 18.9 MB | ||
| 02-practice_project_vehicle_tracking_and_detection_instructions.html | 5.6 KB | ||
| 02-speech_waveform.mp4 | 28.4 MB | ||
| 03-demonstration_exiting_the_processing_operation.mp4 | 28.5 MB | ||
| 03-demonstration_opening_dilation_and_erosion.mp4 | 47.6 MB | ||
| 03-demonstration_resizing_rotating_and_flipping_the_image.mp4 | 34.7 MB | ||
| 03-digital_signal_processing.mp4 | 27.4 MB | ||
| 03-haar_cascade_application_and_limitation.mp4 | 11.2 MB | ||
| 03-industrial_breakthrough_in_audio_and_speech_recognition.mp4 | 14.1 MB | ||
| 03-installing_integrated_libraries_numpy_matplotlib_scipy_and_pillow.mp4 | 19 MB | ||
| 03-processing_speech.mp4 | 22.9 MB | ||
| 04-demonstration_closing_and_morphological_gradient.mp4 | 28.4 MB | ||
| 04-demonstration_gaussian_blur.mp4 | 34.3 MB | ||
| 04-demonstration_implementation_of_haar_cascade_algorithm.mp4 | 25.2 MB | ||
| 04-demonstration_initializing_the_video_frames.mp4 | 33 MB | ||
| 04-installing_integrated_libraries_dlib_scikit_and_pytorch.mp4 | 15.4 MB | ||
| 04-mfcc_mel_frequency_cepstral_coefficient.mp4 | 30.3 MB | ||
| 04-speech_production.mp4 | 25.8 MB | ||
| 04-speech_recognition_technology.mp4 | 28.5 MB | ||
| 05-blackhat_and_whitehat_transformations.mp4 | 26.6 MB | ||
| 05-computer_vision_application.mp4 | 39.1 MB | ||
| 05-demonstration_edge_detection_and_conversion.mp4 | 39 MB | ||
| 05-demonstration_face_detection_code_for_static_image.mp4 | 25.3 MB | ||
| 05-demonstration_saving_the_frames.mp4 | 58.7 MB | ||
| 05-difficulties_in_analyzing_speech.mp4 | 21.6 MB | ||
| 05-ethical_considerations_in_computer_vision_instructions.html | 5.2 KB | ||
| 05-windowing_formula_and_cepstrum.mp4 | 25 MB | ||
| 06-computer_vision_applications_medical_and_plant_disease.mp4 | 43 MB | ||
| 06-demonstration_computing_the_spectrogram.mp4 | 23.4 MB | ||
| 06-demonstration_image_thresholding_binary_image.mp4 | 27.6 MB | ||
| 06-demonstration_implementing_boundary_box_for_face_detection.mp4 | 31.2 MB | ||
| 06-demonstration_loading_the_data.mp4 | 36.6 MB | ||
| 06-demonstration_whitehat_tophat.mp4 | 23.6 MB | ||
| 06-working_of_sound_waves.mp4 | 19.9 MB | ||
| 07-adc_and_sample_rate_bit_rate.mp4 | 16.6 MB | ||
| 07-ai_responsibility_pyramid.mp4 | 23.4 MB | ||
| 07-demonstration_applying_face_detection_on_images.mp4 | 36.5 MB | ||
| 07-demonstration_blackhat.mp4 | 30.5 MB | ||
| 07-demonstration_different_methods_of_thresholding.mp4 | 41.6 MB | ||
| 07-demonstration_digitizing_the_audio_data.mp4 | 31.1 MB | ||
| 07-demonstration_reading_and_writing_operations.mp4 | 50.1 MB | ||
| 08-conversion_of_adc_analog_to_digital_converter_to_dac_digital_to_analog_converter.mp4 | 23.2 MB | ||
| 08-demonstration_converting_fragmented_parts_of_audio_file_for_speech_recognition.mp4 | 41.9 MB | ||
| 08-demonstration_histogram_matching.mp4 | 46.3 MB | ||
| 08-demonstration_practical_use_cases.mp4 | 17.3 MB | ||
| 08-evolution_of_computer_vision_and_speech_analysis.mp4 | 17.7 MB | ||
| 08-introduction_to_face_recognition.mp4 | 22.4 MB | ||
| 08-watershed_algorithm_for_image_processing_instructions.html | 3 KB | ||
| 09-demonstration_generating_sound.mp4 | 51.4 MB | ||
| 09-demonstration_matching_source_and_reference_images.mp4 | 37 MB | ||
| 09-demonstration_setting_up_pre_requisite_libraries_and_loading_the_image.mp4 | 15.3 MB | ||
| 09-evolution_of_speech_analysis.mp4 | 19.1 MB | ||
| 09-voice_onset_voice_offset_tremor_and_noise_detection.mp4 | 26.9 MB | ||
| 09-what_is_adaptive_thresholding.mp4 | 18.9 MB | ||
| 10-demonstration_cumulative_distribution_function.mp4 | 41.1 MB | ||
| 10-demonstration_face_recognition_and_detection.mp4 | 26.8 MB | ||
| 10-demonstration_of_global_adaptive_threshold.mp4 | 21.8 MB | ||
| 10-demonstration_spectrogram.mp4 | 46.9 MB | ||
| 10-understanding_the_concepts_of_voice_onset_and_offset.mp4 | 16.3 MB | ||
| 10-what_is_opencv.mp4 | 22.1 MB | ||
| 11-demonstration_differences_in_images.mp4 | 25.7 MB | ||
| 11-demonstration_facial_landmark_detection_with_file_loading_and_library_setup.mp4 | 48.4 MB | ||
| 11-demonstration_implementing_adaptive_thresholding_methods.mp4 | 37.8 MB | ||
| 11-demonstration_signal_frequencies_over_time.mp4 | 31.1 MB | ||
| 11-exploring_technologies_for_computer_vision_instructions.html | 5.2 KB | ||
| 11-tremor_detection.mp4 | 10 MB | ||
| 12-demonstration_adjusting_video_details_through_opencv.mp4 | 40.2 MB | ||
| 12-demonstration_zcr_pitch_detection_voice_activity_detection.mp4 | 34.9 MB | ||
| 12-lbph_algorithm_local_binary_patterns_histogram_instructions.html | 2.9 KB | ||
| 12-marker_based_augmented_reality_ar_instructions.html | 5.9 KB | ||
| 12-summary_of_audio_file_analysis.mp4 | 13.1 MB | ||
| 13-demonstration_converting_a_sound_file_into_waveform.mp4 | 46 MB | ||
| 13-demonstration_face_recognition.mp4 | 60.2 MB | ||
| 13-demonstration_tremor_detection.mp4 | 39.1 MB | ||
| 14-demonstration_encoding_facial_landmarks.mp4 | 33 MB | ||
| 14-speech_analysis_in_cyber_security_instructions.html | 5.9 KB | ||
| 14-speech_processing_interactive_creation_and_evaluation_spice_toolkit_instructions.html | 3.9 KB | ||
| 15-demonstration_implementing_facial_landmarks_on_images.mp4 | 31.5 MB | ||
| 16-demonstration_implementing_facial_landmarks_on_videos.mp4 | 48.1 MB | ||
| 17-pros_and_cons_of_opencv_s_haar_cascade_face_detector_instructions.html | 3.9 KB | ||
| harvard.wav | 3.1 MB | ||
| highway.mp4 | 5 MB | ||
| resources.html | 4.1 MB | ||
| traffic.mp4 | 185.8 MB | ||
| ▲ 104 total files | |||
Welcome to AI Applications: Computer Vision and Speech Recognition, where you'll acquire hands-on expertise in leveraging cutting-edge technologies to process visual data and interpret human speech. This course empowers you with the practical skills needed to solve real-world challenges in computer vision and speech analysis.
By the end of this course, you’ll be able to:
- Analyze speech waveforms using various audio signal processing techniques.
- Develop a solid understanding of computer vision principles and their applications.
- Perform morphological operations on images and videos within a custom-configured environment.
- Implement advanced techniques for processing audio and video data.
- Apply OpenCV functionalities to build robust solutions for image and video analysis.
This course is ideal for AI enthusiasts, data scientists, and developers looking to expand their skills in computer vision and speech analysis.
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