I have a background in linguistics and can identify phonemes by looking at the spectral graph of the audio, allowing me to seamlessly splice together different takes of the sentences if one of the speakers has misspoken. These skills give me a unique edge in a market saturated by automated, AI based workflows which ignore the intricacies of human speech
What's included
Episode ready for publishing
An audio file both in lossless and lossy forms, with embedded ID3 tags