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Mehrish et al.

Table 9. Exploring the Landscape of TTS and Vocoder Architectures: Autoregressive and Non-Autoregressive
Models.

Method

Text-To-Speech

Vocoder

Autoregressive Model

Tacotron [583] ,Tacotron2 [491], Deep Voice 1,2,3

Transformer-TTS [309], DurIAN [627], Flowtron [548]
RobuTrans [310], DeviceTTS [211],Wave-Tacotron [590]

Apple TTS [9]

ParaNet [421], FastSpeech [460], JDI-T [317], EATS [115]

FastSpeech2 [458], FastPitch [284], Glow-TTS [250]

WaveNet [402], WaveRNN [232], WaveGAN [420]

LPCNet [546], GAN-TTS [38], MultiBand-WaveRNN [627]

ImporvedLPCNet [545], Bunched LPCNet2 [414]

Non-Autoregressive Model

Flow-TTS [376], SpeedySpeech [544]

Parallel-WaveNet [401], WaveGlow [435], Parallel-WaveGAN [608]

Parallel Tacotron [126], BVAE-TTS [296]

MelGAN [275], MultiBand-MelGAN [612], VocGAN [614], WaveGrad [67]

DiffWave [269], HiFi-GAN [268], StyleMelGAN [386], Fre-GAN [254]

iSTFTNet [241], Avocodo [32]
AReviewofDeepLearningTechniquesforSpeechProcessing